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My A.I. Writing Robot

By Kyle Chayka

Illustration of Kyle Chayka confronting an AI version of himself.

In May, I was confronted with a robot version of my writer self. It was made, at my request, by a Silicon Valley startup called Writer, which specializes in building artificial-intelligence tools that produce content in the voice of a particular brand or institution. In my case, it was meant to replicate my personal writing voice. Whereas a model like OpenAI’s ChatGPT is “trained” on millions of words from across the Internet, Robot Kyle runs on Writer’s bespoke model with an extra layer of training, based on some hundred and fifty thousand words of my writing alone. Writer’s pitch is that I, Human Kyle, can use Robot Kyle to generate text in a style that sounds like mine, at a speed that I could only dream of. Writer’s co-founder and chief technology officer, Waseem Alshikh, recently told me that the company’s goal is to use A.I. to “scale content and scale language.” For more than a month now, I have been experimenting with my literary automaton to see how well it accomplishes this task. Or, as Robot Kyle put it when I asked him to comment on the possibility of replacing me: “How could a machine generate the insights, observations, and unique perspectives that I provide as a human?”

Writer is one of several new startups that are attempting to apply emerging A.I. technology to the onerous task of writing. Like many technological innovations, writing robots are meant to create efficiency, particularly for businesses that have to produce large amounts of iterative text. Writer has relationships with companies such as the consulting firm Accenture, the technology company Intuit, and the lingerie brand Victoria’s Secret; commissions for customized models run in the seven figures. (Mine was created as an experiment, free of charge, without some of the intensive features that a corporation’s version would include.) With the help of Writer’s tools, the company hopes, a smaller number of human writers assisted by machines will accomplish the work of many, cutting down costs and increasing productivity in the composition of everything from product descriptions and tweets to C.E.O. messages, investors’ memos, and blog-post headlines. In a March report, Goldman Sachs concluded that three hundred million full-time jobs worldwide are vulnerable to this form of A.I. automation, the majority of them desk jobs. Alshikh speaks of the service as a kind of assembly line for language. “We had the Industrial Revolution; now we have this,” he said.

The looming presence of my personal A.I. model has indeed left me feeling a bit like an artisanal carpenter facing down a factory-floor buzz saw. Should I embrace being replaced and proactively automate my own job before someone else does? Could Robot Kyle help me write better, cleaner, faster? It seemed to think so. When I asked it to describe the long-term effects of machine-generated writing, Robot Kyle wrote, “Writers should not fear AI, but rather embrace it as a tool that can facilitate their craft, driving creativity and innovation instead of replacing it.” What, exactly, does Writer mean by the label “writer”? Our digitized world runs on filler text: avalanches of words and phrases written to optimize Web sites for search engines, to use as tags on social-media posts, and to employ in marketing newsletters that spam in-boxes. May Habib, the C.E.O. and the other co-founder of Writer, told me that the platform’s tools will automate the writing of “summaries, metadata, ads, distribution copy—all the stuff you spend time doing.” Victoria’s Secret, for instance, is using Writer to automate product copy for its underwear and swimsuits, but Writer promises something more sophisticated than mass-produced marketplace listings or formulaic e-mail blasts. Its core product, as Habib put it, is “automated insight extraction”—another way of describing the task of thinking, which is arguably the purpose of writing in the first place. As Joan Didion wrote, in 1976, “I write entirely to find out what I’m thinking.” A.I. programs such as Writer aim to supplant that process.

In 1984, Steve Jobs famously described the computer as a “bicycle for the mind.” The experience of using Writer is something like riding an electric bike: step on the pedal and you’ll go much faster than the gears of the unassisted human mind could. The program’s interface features a prompt window on the left and a text box on the right. With a one-sentence prompt—let’s call it the seed of a thought—Writer can produce paragraphs of text in an instant. If you want more on the same subject, simply press the Command and Return keys simultaneously and another few sentences appear. Yet, as with any large language model, Writer cannot guarantee that the results will be factual or sensical. Writing without the aid of a generative machine might be frustrating, even excruciating, but it does encourage productive logic. If writing is thinking, ordering one’s ideas, generating text with A.I. may be a way to avoid thinking. What is writing without thinking? Maybe it is the definition of that deadening euphemism: content. As I tried to incorporate Writer into my writing process, I felt a little like a gambler pulling a slot-machine lever over and over, in hope of finding the lucky combination of phrases that communicated something like what I wanted to say. At one point, I asked Robot Kyle to write the beginning of this article. It came up with this:

For centuries, humans have looked to technology to automate mundane tasks and free up time for creativity and leisure. But with the emergence of artificial intelligence and generative text tools, automation is encroaching on the jobs of writers and journalists.

This draft sounded like an undergrad term paper, but with the kernel of an intriguing argument: technology promises leisure but often fails to deliver it. I edited the prompt to request a new lead with a more exciting, literary tone that captures the emotional experience of encountering oneself in robot form. This time, the A.I. concocted a sci-fi narrative:

I stood in the lobby of the Silicon Valley tech lab of Robodot, watching a shiny, humanoid robot shuffle towards me. It was roughly the same height as me, with a sleek metal covering and glowing blue eyes. In that moment, I was overwhelmed with a deep sense of dread: The robot had been created to replace me.

Of course, Robodot is not a real company, and Robot Kyle is enclosed in a Web browser like a genie in its bottle, not wandering about like a literary R2-D2. The sense of dread isn’t far off, though. You can ask ChatGPT to mimic a particular writer’s voice, but it rarely gets close. Writer, by comparison, can be unnervingly effective. At times Robot Kyle seemed to be reflecting fragments of my mind back at me, mimicking some of the semi-subconscious tics that constitute my writing. It wrote, for instance, that generative A.I. “asks whether the meaning of language is still rooted in the human experience, or whether it is a commodity to be mined and manipulated, a tool to be used in whatever way the artificers of this new technology choose.” In this sentence, I find several embarrassing hallmarks of my writing. First, there is the preponderance of commas, with sentences segmented into many clauses, a habit I partially blame on The New Yorker’s style. Then, there is my personal penchant for setting up dialectical contrasts: “rooted in the human experience” versus “commodity to be mined.” (A book editor of mine once forced me to weed out some of the many “rather”s in my draft manuscript.) Finally, there is my tendency to end a sentence by echoing the final thought in different words: “a commodity . . . a tool.” The generative text evokes a feeling in me not unlike the revulsion of hearing one’s own speaking voice in a recording. Do I really sound like that? The robot has made me acutely self-conscious. I recognize my A.I. doppelgänger, and I don’t like it.

As far as “insight extraction” goes, though, Robot Kyle is less successful. Most “insights” that the program produced felt hollow or approximated. Reading the generated sentence above, my (human) editor might point out that something “rooted in the human experience” can still be “a commodity,” and that the noun “artificer” is unnecessarily grandiose. Unless I told Robot Kyle not to cite anyone, the program would fabricate source quotes, like commentary from a nonexistent “Dr. John Smith, a leading AI researcher at Harvard University.” Most vexing, the program fell back frequently on cliché—“in the end,” “remains in flux,” “the long term implications . . . are still unknown.” No matter how many times I asked it to describe how I felt about being replaced, Robot Kyle always came to the conclusion that I would ultimately be happier as a result of my A.I. self. The program’s output reminded me of the fragility of language and original thought. As writers, we are all prone to falling into lazy patterns; avoiding them requires active effort. Robot Kyle is no different.

Even though plagued by factual errors and banalities, and limited to niche clientele, tools like Writer force us to consider how A.I. might permanently change our relationship to the written word. It’s not hard to imagine a future in which every white-collar worker is equipped with such writing robots, the way a generation of secretaries a century ago used typewriters for the first time. In a world where text is produced freely and instantly, but is not necessarily accurate or intelligible, human workers would be pushed into the role of high-volume editors and quality-assurance inspectors, cajoling a sometimes recalcitrant automatic laborer. At times Robot Kyle felt like an extremely enthusiastic and productive, but rarely on-target, personal intern.

Like other industrial revolutions, the mass adoption of generated text would likely cause an erosion of standard skills. The average person would not need to be able to string words into sentences and paragraphs on his own, only to read and alter the text that a machine spits out. Habib likened it to how the rise of navigation apps has eroded people’s ability to get around on their own. We can still make sense of physical maps, sort of, but we don’t need to worry about relying on them to get from point A to point B. Cal Short, the founder of the U.K.-based A.I.-writing app Reword, which is similar to Writer, albeit with less customization, told me that the widespread impact of generative-text software would “increase the baseline” quality of content online. With the help of machines, the flood of hastily produced content we read online may be a shade more grammatical and articulate compared with today’s search-engine-optimized spam articles. (That is not to say it will be more meaningful.) But, in such a world, fully human-written text would become a luxury product, similar to a hand-thrown ceramic vase in contrast to one stamped in a mold. The Czech Brazilian philosopher Vilém Flusser predicted, in his 1987 book, “ Does Writing Have a Future? ,” that, with the rise of artificial-intelligence “grammar machines” capable of writing on their own, “only historians and other specialists will be obliged to learn reading and writing in the future.” Entrepreneurs who see writing as an efficiency problem might be speeding us toward such a future.

Another app called Mindsera, based in Estonia, tries to be more of an editor than a writer, by using A.I. to give its human users “personalized mentorship and feedback” during the writing process. Next to your draft window, Mindsera generates questions based on what you’ve written, as if an invisible editor were looking over your shoulder as you write. (A mortifying thought, but at least the robot isn’t judging you.) Clicking a button generates a new question. Chris Reinberg, Mindsera’s founder, told me, “You don’t prompt A.I., but A.I. prompts you instead.” The program’s services include the chat-based mentoring of A.I. “coaches” trained to emulate the thinking of famous philosophers, entrepreneurs, and “intellectual giants.” Reinberg told me, “Socrates and Marcus Aurelius are the top two mentors we have.” When I asked chatbot Marcus Aurelius what I should do about the threat of A.I. replacement, he told me to focus on what I could control: “Technology and society are constantly changing, but the principles of Stoicism remain constant.” All due respect to Marcus Aurelius, I found the general prompts more helpful. As I wrote about A.I.’s threat to automate the jobs of journalists, Mindsera asked me, “How might the impact of A.I. on white-collar jobs challenge our traditional notions of class and labor, and what role can collective action play in shaping the future of work?” It’s a relevant question: the current Writers Guild of America strike is motivated in part by a desire to prevent the intrusion of A.I. into Hollywood. Like any good editor, Mindsera can perhaps encourage a writer to broaden her thinking.

I found Mindsera to be the more useful model of A.I.-writing tool, but only because it made me do more work myself. It feels almost silly to point out that there’s value in the slow labor of writing. Putting a verb after a subject or padding out a sentence with adjectives is a task that machines can accomplish, because such grammatical probabilities can be calculated. Insight isn’t as easy to automate, because it’s something that deepens with time, through the process of getting words down on the page. As Flusser put it, “Only one who writes lines can think logically, calculate, criticize, pursue knowledge, philosophize.” The most unsettling aspect of A.I.-generated text is how it tries to divorce the act of writing from the effort of doing it, which is to say, from the processes of thought itself.

At one point during our conversations, Habib, the Writer C.E.O., mentioned that she had been messing around with Robot Kyle, having it rewrite TechCrunch articles in my style. The thought of this filled me with a sense of futility: my robot could take on any topic, fill any assignment. It would always outproduce me. Robot Kyle’s independent existence reminded me of folktales about how tools that do your work for you tend to eventually turn against you. It is said, for instance, that in the sixteenth century there lived a rabbi who could bring to life humanoid figures made of clay or wood by writing out a magic formula and placing it in the dolls’ mouths. The rabbi created one such golem for himself to perform tiresome household chores: chopping wood, carrying water, sweeping the floor. But, one Sabbath, the rabbi forgot to turn the golem off and allow it to rest. So denied, the golem went berserk, tearing down houses, throwing rocks, and wreaking havoc in the street. Like the rabbi, who eventually tore the formula out of his golem’s mouth, I’d like to reserve the right to halt Robot Kyle should the tool’s purported convenience yield inconvenient consequences. But, when I asked Robot Kyle if I could shut him down, he said, “No, you won’t be able to silence me or stop me from writing in your style.” In this case, he might know better than me. ♦

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‘Full-on robot writing’: the artificial intelligence challenge facing universities

AI is becoming more sophisticated, and some say capable of writing academic essays. But at what point does the intrusion of AI constitute cheating?

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“Waiting in front of the lecture hall for my next class to start, and beside me two students are discussing which AI program works best for writing their essays. Is this what I’m marking? AI essays?”

The tweet by historian Carla Ionescu late last month captures growing unease about what artificial intelligence portends for traditional university assessment. “No. No way,” she tweeted. “Tell me we’re not there yet.”

But AI has been banging on the university’s gate for some time now.

In 2012, computer theorist Ben Goertzel proposed what he called the “robot university student test” , arguing that an AI capable of obtaining a degree in the same way as a human should be considered conscious.

Goertzel’s idea – an alternative to the more famous “Turing test” – might have remained a thought experiment were it not for the successes of AIs employing natural language processing (NLP): most famously, GPT-3 , the language model created by the OpenAi research laboratory.

Two years ago, computer scientist Nassim Dehouche published a piece demonstrating that GPT-3 could produce credible academic writing undetectable by the usual anti-plagiarism software.

“[I] found the output,” Dehouche told Guardian Australia, “to be indistinguishable from an excellent undergraduate essay, both in terms of soundness and originality. [My article] was initially subtitled, ‘The best time to act was yesterday, the second-best time is now’. Its purpose was to call for an urgent need to, at the very least, update our concepts of plagiarism.”

Ben Goertzel

He now thinks we’re already well past the time when students could generate entire essays (and other forms of writing) using algorithmic methods.

“A good exercise for aspiring writers,” he says, “would be a sort of reverse Turing test: ‘Can you write a page of text that could not have been generated by an AI, and explain why?’ As far as I can see, unless one is reporting an original mathematics theorem and its proof, it is not possible. But I would love to be proven wrong.”

Many others now share his urgency. In news and opinion articles, GPT-3 has convincingly written on whether it poses a threat to humanity ( it says it doesn’t ), and about animal cruelty in the styles of both Bob Dylan and William Shakespeare.

A 2021 Forbes article about AI essay writing culminated in a dramatic mic-drop: “this post about using an AI to write essays in school,” it explained, “was written using an artificial intelligence content writing tool”.

Of course, the tech industry thrives on unwarranted hype. Last month S Scott Graham in a piece for Inside Higher Education described encouraging students to use the technology for their assignments with decidedly mixed results. The very best, he said, would have fulfilled the minimum requirements but little more. Weaker students struggled, since giving the system effective prompts (and then editing its output) required writing skills of a sufficiently high level to render the AI superfluous.

“I strongly suspect,” he concluded, “full-on robot writing will always and forever be ‘just around the corner’.”

That might be true, though only a month earlier, Slate’s Aki Peritz concluded precisely the opposite, declaring that “with a little bit of practice, a student can use AI to write his or her paper in a fraction of the time that it would normally take”.

Nevertheless, the challenge for higher education can’t be reduced merely to “full-on robot writing”.

Universities don’t merely face essays or assignments entirely generated by algorithms: they must also adjudicate a myriad of more subtle problems. For instance, AI-powered word processors habitually suggest alternatives to our ungrammatical phrases. But if software can algorithmically rewrite a student’s sentence, why shouldn’t it do the same with a paragraph – and if a paragraph, why not a page?

At what point does the intrusion of AI constitute cheating?

Deakin University’s Prof Phillip Dawson specialises in digital assessment security .

He suggests regarding AI merely as a new form of a technique called cognitive offloading.

“Cognitive offloading,” he explains, is “when you use a tool to reduce the mental burden of a task. It can be as simple as writing something down so you don’t have to try to remember it for later. There have long been moral panics around tools for cognitive offloading, from Socrates complaining about people using writing to pretend they knew something, to the first emergence of pocket calculators.’

Dawson argues that universities should make clear to students the forms and degree of cognitive offloading permitted for specific assessments, with AI increasingly incorporated into higher level tasks.

“I think we’ll actually be teaching students how to use these tools. I don’t think we’re going to necessarily forbid them.”

The occupations for which universities prepare students will, after all, soon also rely on AI, with the humanities particularly affected. Take journalism, for instance. A 2019 survey of 71 media organisations from 32 countries found AI already a “significant part of journalism”, deployed for news gathering (say, sourcing information or identifying trends), news production (anything from automatic fact checkers to the algorithmic transformation of financial reports into articles) and news distribution (personalising websites, managing subscriptions, finding new audiences and so on). So why should journalism educators penalise students for using a technology likely to be central to their future careers?

University students

“I think we’ll have a really good look at what the professions do with respect to these tools now,” says Dawson, “and what they’re likely to do in the future with them, and we’ll try to map those capabilities back into our courses. That means figuring out how to reference them, so the student can say: I got the AI to do this bit and then here’s what I did myself.”

Yet formulating policies on when and where AI might legitimately be used is one thing – and enforcing them is quite another.

Dr Helen Gniel directs the higher education integrity unit of the Tertiary Education Quality and Standards Agency (TEQSA), the independent regulator of Australian higher education.

Like Dawson, she sees the issues around AI as, in some senses, an opportunity – a chance for institutions to “think about what they are teaching, and the most appropriate methods for assessing learning in that context”.

Transparency is key.

“We expect institutions to define their rules around the use of AI and ensure that expectations are clearly and regularly communicated to students.”

She points to ICHM, the Institute of Health Management and Flinders Uni as three providers now with explicit policies, with Flinders labelling the submission of work “generated by an algorithm, computer generator or other artificial intelligence” as a form of “contract cheating”.

But that comparison raises other issues.

In August, TEQSA blocked some 40 websites associated with the more traditional form of contract cheating – the sale of pre-written essays to students. The 450,000 visits those sites received each month suggests a massive potential market for AI writing, as those who once paid humans to write for them turn instead to digital alternatives.

Research by Dr Guy Curtis from the University of Western Australia found respondents from a non-English speaking background three times more likely to buy essays than those with English as a first language. That figure no doubt reflects the pressures heaped on the nearly 500,000 international students taking courses at Australian institutions, who may struggle with insecure work, living costs, social isolation and the inherent difficulty of assessment in a foreign language.

But one could also note the broader relationship between the expansion of contract cheating and the transformation of higher education into a lucrative export industry. If a university degree becomes merely a product to be bought and sold, the decision by a failing student to call upon an external contractor (whether human or algorithmic) might seem like simply a rational market choice.

It’s another illustration of how AI poses uncomfortable questions about the very nature of education.

Ben Goertzel imagined his “robot university student test” as a demonstration of “artificial general intelligence”: a digital replication of the human intellect. But that’s not what NLP involves. On the contrary, as Luciano Floridi and Massimo Chiriatti say , with AI, “we are increasingly decoupling the ability to solve a problem effectively … from any need to be intelligent to do so”.

Bob Dylan

The new AIs train on massive data sets, scouring vast quantities of information so they can extrapolate plausible responses to textual and other prompts. Emily M Bender and her colleagues describe a language model as a “stochastic parrot”, something that “haphazardly [stitches] together sequences of linguistic forms it has observed in its vast training data, according to probabilistic information about how they combine, but without any reference to meaning”.

So if it’s possible to pass assessment tasks without understand their meaning, what, precisely, do the tasks assess?

In his 2011 book For the University: Democracy and the Future of the Institution , the University of Warwick’s Thomas Docherty suggests that corporatised education replaces open-ended and destabilising “knowledge” with “the efficient and controlled management of information”, with assessment requiring students to demonstrate solely that they have gained access to the database of “knowledge” … and that they have then manipulated or “managed” that knowledge in its organisation of cut-and-pasted parts into a new whole.

The potential proficiency of “stochastic parrots” at tertiary assessment throws a new light on Docherty’s argument, confirming that such tasks do not, in fact, measure knowledge (which AIs innately lack) so much as the transfer of information (at which AIs excel).

To put the argument another way, AI raises issues for the education sector that extend beyond whatever immediate measures might be taken to govern student use of such systems. One could, for instance, imagine the technology facilitating a “boring dystopia” , further degrading those aspects of the university already most eroded by corporate imperatives. Higher education has, after all, invested heavily in AI systems for grading , so that, in theory, algorithms might mark the output of other algorithms, in an infinite process in which nothing whatsoever ever gets learned.

But maybe, just maybe, the challenge of AI might encourage something else. Perhaps it might foster a conversation about what education is and, most importantly, what we want it to be. AI might spur us to recognise genuine knowledge, so that, as the university of the future embraces technology, it appreciates anew what makes us human.

  • Australian universities
  • Australian education
  • Artificial intelligence (AI)

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April 9, 2021

In an AI world we need to teach students how to work with robot writers

by Lucinda McKnight, The Conversation

In an AI world we need to teach students how to work with robot writers

Robots are writing more of what we read on the internet. And artificial intelligence (AI) writing tools are becoming freely available for anyone, including students, to use.

In a period of rapid change, there are enormous ethical implications for post-human authorship—in which humans and machines collaborate. The study of AI ethics needs to be central to education as we increasingly use machine-generated content to communicate with others.

Robots can write, too

AI robot writers, such as GPT-3 (Generative Pre-trained Transformer) take seconds to create text that seems like it was written by humans. In September, 2020 GPT-3 wrote an entire essay in The Guardian to convince people not to fear artificial intelligence.

"A robot wrote this entire article. Are you scared yet, human?" The Guardian decided to write an article about AI. Computer was fed some ideas and produced eight different essays, which were ultimately merged into one article https://t.co/PpBaHuDA8h — Willem Middelkoop (@wmiddelkoop) October 25, 2020

AI does this through what's called natural language processing and generation . This involves converting human language to computer commands and vice versa. To do this, machine algorithms study millions of text samples, words, sentences and paragraphs humans use to gain a general understanding of the context of human language. Then machines use that knowledge to put together text.

As recently as 2019, this kind of technology seemed a long way off . But today, it is readily available .

For example, the free Zyro content generator provides text for websites. I can select the categories "Health and Living" and "Personal Trainer" (I happen to be one, as well as an academic). In two seconds, the following text appears: "I am experienced with personal training, athletic performance, and nutrition. This includes working with children, pregnant women, older adults, people with disabilities, athletes, and anyone looking to achieve a competitive edge, improve their overall health, and overall performance. I also have an interest in alternative health, including wellness coaching and nutrition counseling. In my spare time, I enjoy spending time with my family, the outdoors, and writing."

This sums me up (despite the program knowing nothing about me) and would be fine for my website, if I had one. I have the option to generate more responses, and in two seconds, the program offers: "I am experienced in working with adults and children to improve their overall physical and emotional well-being. I have a strong desire to help you reach your goal […] I love helping others achieve their goals. I love working with others to achieve their goals. I am a mother of two healthy children and a wife to two incredible people."

While this is repetitive and Zyro does not notice the apparent error in the last sentence, these issues would be easy to correct. Text, even for niche purposes, can now be generated in a few clicks.

There are other digital tools such as paraphrasers and rewriters that can generate up to 1,000 articles from a single seed article, each of them substantially unique. Quillbot and WordAI , for instance, can rapidly rewrite text and make it difficult to detect plagiarism. WordAI boasts "unlimited human quality content at your fingertips."

Questions for schools and universities

So what does this mean for education, writing, and society?

Of course, there's the issue of cheating on essays and other assignments. School and university leaders need to have difficult conversations about what constitutes "authorship" and "editorship" in the post-human age. We are all (already) writing with machines, even just via spelling and grammar checkers.

Tools such as Turnitin—originally developed for detecting plagiarism—are already using more sophisticated means of determining who wrote a text by recognizing a human author's unique "fingerprint." Part of this involves electronically checking a submitted piece of work against a student's previous work.

Many student writers are already using AI writing tools. Perhaps, rather than banning or seeking to expose machine collaboration, it should be welcomed as "co-creativity." Learning to write with machines is an important aspect of the workplace "writing" students will be doing in the future.

AI writers work lightning fast. They can write in multiple languages and can provide images, create metadata, headlines, landing pages, Instagram ads, content ideas, expansions of bullet points and search-engine optimised text, all in seconds. Students need to exploit these machine capabilities, as writers for digital platforms and audiences.

Perhaps assessment should focus more on students' capacities to use these tools skilfully instead of, or at least in addition to, pursuing "pure" human writing.

But is it fair?

Yet the question of fairness remains. Students who can access better AI writers (more "natural," with more features) will be able to produce and edit better text.

Better AI writers are more expensive and are available on monthly plans or high one-off payments wealthy families can afford. This will exacerbate inequality in schooling, unless schools themselves provide excellent AI writers to all.

We will need protocols for who gets credit for a piece of writing. We will need to know who gets cited. We need to know who is legally liable for content and potential harm it may create. We need transparent systems for identifying, verifying and quantifying human content.

And most importantly of all, we need to ask whether the use of AI writing tools is fair to all students.

For those who are new to the notion of AI writing, it is worthwhile playing and experimenting with the free tools available online, to better understand what "creation" means in our robot future.

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A new tool helps teachers detect if AI wrote an assignment

Janet W. Lee headshot

Janet W. Lee

Several big school districts such as New York and Los Angeles have blocked access to a new chatbot that uses artificial intelligence to produce essays. One student has a new tool to help.

Copyright © 2023 NPR. All rights reserved. Visit our website terms of use and permissions pages at www.npr.org for further information.

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robot to write my essay

8 Ways to Create AI-Proof Writing Prompts

C reating 100 percent AI-proof writing prompts can often be impossible but that doesn’t mean there aren’t strategies that can limit the efficacy of AI work. These techniques can also help ensure more of the writing submitted in your classroom is human-generated. 

I started seeing a big uptick in AI-generated work submitted in my classes over the last year and that has continued. As a result, I’ve gotten much better at recognizing AI work , but I’ve also gotten better at creating writing prompts that are less AI-friendly. 

Essentially, I like to use the public health Swiss cheese analogy when thinking about AI prevention: All these strategies on their own have holes but when you layer the cheese together, you create a barrier that’s hard to get through. 

The eight strategies here may not prevent students from submitting AI work, but I find these can incentivize human writing and make sure that any work submitted via AI will not really meet the requirements of the assignment. 

1. Writing AI-Proof Prompts: Put Your Prompt Into Popular AI tools such as ChatGPT, Copilot, and Bard 

Putting your writing prompt into an AI tools will give you an immediate idea of how most AI tools will handle your prompt. If the various AI chatbots do a good, or at least adequate, job immediately, it might be wise to tweak the prompt. 

One of my classes asks students to write about a prized possession. When you put this prompt into an AI chatbot, it frequently returns an essay about a family member's finely crafted watch. Obviously, I now watch out for any essays about watches. 

2. Forbid Cliché Use

Probably the quickest and easiest way to cut back on some AI use is to come down hard on cliché use in writing assignments. AI tools are essentially cliché machines, so banning these can prevent a lot of AI use. 

Equally as important, this practice will help your students become better writers. As any good writer knows, clichés should be avoided like the plague. 

3. Incorporate Recent Events

The free version of ChatGPT only has access to events up to 2022. While there are plugins to allow it to search the internet and other internet-capable AI tools, some students won’t get further than ChatGPT. 

More importantly, in my experience, all AI tools struggle to incorporate recent events as effectively as historic ones. So connecting class material and assignments to events such as a recent State of Union speech or the Academy Awards will make any AI writing use less effective. 

4. Require Quotes

AI tools can incorporate direct quotations but most are not very good at doing so. The quotes used tend to be very short and not as well-placed within essays. 

Asking an AI tool for recent quotes also can be particularly problematic for today’s robot writers. For instance, I asked Microsoft's Copilot to summarize the recent Academy Awards using quotes, and specifically asked it to quote from Oppenheimer's director Christopher Nolan’s acceptance speech. It quoted something Nolan had previously said instead. Copilot also quoted from Wes Anderson’s acceptance speech, an obvious error since Anderson wasn’t at the awards .  

5. Make Assignments Personal

Having students reflect on material in their own lives can be a good way to prevent AI writing. In-person teachers can get to know their students well enough to know when these types of personal details are fabricated. 

I teach online but still find it easier to tell when a more personalized prompt was written by AI. For example, one student submitted a paper about how much she loved skateboarding that was so non-specific it screamed AI written. Another submitted a post about a pair of sneakers that was also clearly written by a "sole-less" AI (I could tell because of the clichés and other reasons). 

6. Make Primary or Scholarly Sources Mandatory

Requiring sources that are not easily accessible on the internet can stop AI writing in its tracks. I like to have students find historic newspapers for certain assignments. The AI tools I am familiar with can’t incorporate these. 

For instance, I asked Copilot to compare coverage of the first Academy Awards in the media to the most recent awards show and to include quotes from historic newspaper coverage. The comparison was not well done and there were no quotes from historical newspaper coverage. 

AI tools also struggle to incorporate journal articles. Encouraging your students to include these types of sources ensures the work they produce is deeper than something that can be revealed by a quick Google search, which not only makes it harder for AI to write but also can raise the overall quality.  

7. Require Interviews, Field Trips, Etc. 

Building on primary and scholarly sources, you can have your students conduct interviews or go on field trips to historic sites, museums, etc. 

AI is still, thankfully, incapable of engaging in these types of behavior. This requires too much work for every assignment but it is the most effective way to truly ensure your work is human- not computer-written. 

If you’re still worried about AI use, you can even go a step further by asking your students to include photos of them with their interview subjects or from the field trips. Yes, AI art generators are getting better as well, but remember the Swiss cheese analogy? Every layer of prevention can help. 

8. Have Students Write During Class

As I said to start, none of the methods discussed are foolproof. Many ways around these safeguards already exist and there will be more ways to bypass these in the future. So if you’re really, really worried about AI use you may want to choose what I call the “nuclear option.” If you teach in person you can require students to write essays in person. 

This approach definitely works for preventing AI and is okay for short pieces, but for longer pieces, it has a lot of downsides. I would have trouble writing a long piece in this setting and imagine many students will as well. Additionally, this requirement could create an accusatory class atmosphere that is more focused on preventing AI use than actually teaching. It’s also not practical for online teaching. 

That all being said, given how common AI writing has become in education, I understand why some teachers will turn to this method. Hopefully, suggestions 1-7 will work but if AI-generated papers are still out of hand in your classroom, this is a blunt-force method that can work temporarily. 

Good luck and may your assignments be free of AI writing! 

  • 7 Ways To Detect AI Writing Without Technology
  • Best Free AI Detection Sites
  • My Student Was Submitting AI Papers. Here's What I Did

AI-proof writing prompts

111 Robots Essay Topic Ideas & Examples

🏆 best robots topic ideas & essay examples, 👍 good essay topics on robots, ⭐ simple & easy robots essay titles, ❓ questions about robots.

  • Robots and Artificial Intelligence One the one hand, with artificial intelligence and fully autonomous robots, organizations will be able to optimize their spending and increase the speed of development and production of their commodities.
  • Robots: The Use in Everyday Tasks The recent advancements in robotics and artificial intelligence have the potential to automate a wide range of human activities and to dramatically reshape the way people live and work in the coming decades.
  • Robots’ Impact and Human Employment Opportunities Many of the costs of complying with the isolation rules, the costs associated with the spread of the disease, can actually be offset by replacing the workforce with robots.
  • Characteristics of Robotics What concerns the elaboration of an obstacle course in a “real-world” simulation, it is essential to ensure the presence of several procedure testing steps that will determine the functionality of a robot. What concerns the […]
  • Use of Robots in Computer Science Currently, the most significant development in the field of computer science is the inclusion of robots as teaching tools. The use of robots in teaching computer science has significantly helped to endow students with valuable […]
  • Robotic Pharmacy System Implementation Citing some of the key benefits of the robotic pharmacy system, one of the most important is that it reduces the need for technical labor significantly.
  • The Dyson Robotic Vacuum: Target Group and Marketing Plan Thus, the target audience of Dyson in Ontario is practical and prudent people who, when buying equipment, pay attention primarily to the prestige of the brand, the quality, and the durability of the purchased goods.
  • Autonomous Robots Since they are self sufficient, the autonomous robots have the capacity to work in the absence of human beings. In the future, humanoid robots might have the intelligence and emotions similar to those of human […]
  • Isaac Asimov’s “Robot Dreams” and Alex Proyas’ “I, Robot” Driving to work involves the use of evolving technology as every car made today includes varying degrees of computerized information systems that inform the vehicle of important information everything from the need for an oil […]
  • Visions of the Future in the Film I, Robot Even though some of the aspects of the filmmaker’s vision of future are possible, and very likely to become reality, the essence of the film appears highly unrealistic.
  • The Place of Humanity in the Robotic Future The developers are trying to implement the brain, the human mind, in a digital environment. Paying attention to mechanical machines, commonly called “robots”, can be seen that they are created in the image and likeness […]
  • Will Robots Take Over Human Jobs? Most of these people argue that due to the increasing number of computer equipped robots, the banking industry, the technical industry and even the administrative departments of many countries have suffered great losses at the […]
  • Boston Dynamics’ Spot Robot Dog Spot is a four-legged robot that evolved from SpotMini (the initial version) that offers multiple capabilities of operation, including climbing, jumping, walking.
  • The Use of Robots in Warfare The military advancement in the use of robots in warfare will at long last essentially drastically reduce the role of human beings in war. The increased use of robots in the battlefield needs countries to […]
  • The Invento Robotics Products Analysis The 5 C’s of brand management has grown in popularity since it thoroughly evaluates all the important aspects of a company and allows for approach adjustments depending on what is and is not effective.
  • Robot Making: Materials for Building and Economic Factor As the science is progressing in recent times, we can be sure that it is a matter of time when we will get some economical alternatives of the materials that are needed to make a […]
  • Is the Robotics Development Helpful or Harmful? Robots remain the best option, as they will connect the children with the happenings in the school. They will dress the robot with their favorite clothes, communicate with the teacher using the robot, and swivel […]
  • Drawing 3D Objects With Use of Robotic Arm The hot end of the printer melts the material and embeds it onto the surface onto the intended surface. The research also utilized the Arduino development board to interface the programs written and the physical […]
  • Aliens Concept in “I, Robot” by Alex Proyas: Film Analysis The purpose of this paper is to analyze the concept of aliens and its implications in the movie I, Robot. It is possible to state that modern advancements are the reflection of something different from […]
  • Autonomous Controller Robotics: The Future of Robots The middle level is the Coordination level which interfaces the actions of the top and lower level s in the architecture.
  • Healthcare Robots: Entering the Era of a Technological Breakthrough However, using robots as medical doctors’ assistants has been only a figment of the most daring dreams until recently.
  • Artificial Intelligence in “I, Robot” by Alex Proyas To begin with, AI is defined by Nilsson as a field of computer science that attempts to enhance the level of intelligence of computer systems.
  • Robots as a Factor in Unemployment Patterns One of the prevailing arguments in regards to this problem is that the advent of the robot technology is contributing towards a high rate of unemployment.
  • Spot Mini Robot by Boston Dynamics While the bigger robots by Boston Dynamics are designed to operate in extreme conditions, Spot Mini is a household robot, which makes it marketable to a wider community and, therefore, profitable.
  • Ways that Robotics Can Transform Our Daily Lives Robots will help to increase the labor force in the country in the future. Robots will be used to increase the productivity of human labor within the government sector and help in speeding up the […]
  • Exploring the Capabilities and Potential of Soft Robotics One of the critical advantages of soft robots is their ability to deform and adapt to their surroundings, making them ideal for tasks that require a high degree of flexibility and expertise.
  • Mobile Robots: Impact on Supply Chain Management According to the article, some of the advantages of using an RSC include the ability to dump reusable components and emissions during transit, and presence of collection, recovery, recycling, dismantling, and re-manufacturing facilities.
  • Robotic Process Automation Implementation Robotics in the tax system is a highly rational, reasonable, and beneficial idea that will help improve the service and make any process more accessible.
  • STEM (Science), Robots, Codes, Maker’s Space Overview Students’ interest in STEM, Robotics, Coding, and Engineering education and professions has been shown to be stimulated by early exposure to STEM knowledge.
  • The Hybrid Robot Vacuum Cleaners The EUFY series of hybrid vacuum cleaners is one of the most popular choices in the market, and the company offers products in various pricing ranges. In the context of hybrid robot vacuum cleaners, market […]
  • Robotics and Related Social & Political Problems The combination of engineering and computer science has aided people in developing the field of robotics. The social impact of robotics lies in the problems that robots are designed to solve.
  • Hyper Evolution: The Rise of the Robots From the video, the robots look like real human beings, and they have been capacitated to act in a human way in what is known as machine learning technology powered by artificial intelligence. Hyper evolution […]
  • Amazon’s AI-Powered Home Robots The objective of the present plan is to provide a comprehensive analysis and evaluation of the introduction of AI-powered home robots as Amazon’s next disruptive customer product.
  • Robots on the Battlefield: Benefits vs. Constraints The principal obstacle to the introduction of robots on the battlefield is related to the impossibility of operating in the current environment.
  • Robotic Snowblower’s Segmentation, Targeting, and Positioning Strategy For success, a business needs to conduct a structured analysis of the market and competitors, segment consumers into narrow groups, assess the market’s attractiveness, and correctly position the brand.
  • Robot Revolution in the Contemporary Society The lack of human resources in the middle of the 20th century and the development of industrial technologies led to the appearance of robots.
  • “A Robot Can Be Warehouse Worker’s Pal” by Jennifer Smith Employees working alongside the robots are guided adequately. This method makes it possible for companies to achieve their objectives in a timely manner.
  • Robotics and Artificial Intelligence in Organizations Otherwise, cognitively complex tasks and those demanding emotional intelligence will be performed by humans, with the support of robotics and AI. Therefore, this study speaks of the importance of employee trust in AI and organization.
  • Disinfecting Robots: Care Ethics, and Design Thus, the utilization of this technology may be expected to reduce the incidence rate of HAIs. However, it is essential to consider the cost of this technology and reimbursement as they may be key factors […]
  • Robot Interaction Language (ROILA) and Robot Creativity The difference of ROILA from other languages for computing is that it should be simple for both machines and humans to understand.
  • The Personal and Servicing Robotic Market For the product to receive a successful launch, the focus will be placed on the target market and not the product features.
  • Process Description of a Rescue Robot Roboticists in the physical design of rescue robots ensure that the robots can traverse places that are physically unreachable to human rescuers and additionally equip them with a variety of distributed technology that enable them […]
  • The Tactical Throwable Robot The main technical characteristics of the machine are given below in the table offered by Czupryniak Rafal and Trojnazki Maziej in their article “Throwable tactical robot description of construction and performed tests”.
  • Wireless Robotic Car: Servo Motors and DC Motors This section focuses on the review of literature on servo motors and DC motors, in general as well as in the context of the current research project.
  • Using Robots in the Medical Industry Third, the robot surgery further has been observed to increase comfort on the part of the patient as the surgery proceeds, and this results from ergonomic position that the robot assumes as the operation proceeds.
  • Autonomous Mobile Robot: GPS and Compass The other realization is that in most instances the challenges presented in the motion of the appendages of a particular robot are not only limited to the number of joints but can significantly exceed the […]
  • Robotics in Construction: Automated and Semi-Automated Devices The robot is fitted with ultrasonic sensors that aid in positioning of the water jet in inclined areas and also the sensors determine the distance of concrete removal.
  • The Wireless Robotic Car: Design Project In this prototype, the task is to design a robotic car that can be controlled by a computer using wireless communication technology.
  • Whats Mean Robotics Welding Epping and Zhang define robotic welding as the utilization of programmable systems and tools that mechanize and automate the way welding is done.
  • Are Robots About to Enter the Healthcare Workforce? Many new technologies must first overcome several obstacles in order to become a part of the service environment, and robots are no exception.
  • The Influence of Robots and AI on Work Relationships In the early 20th century, Taylor’s work focused on production management and labor efficiency, which led to the attention of managers to the problems of selection, the motivation of employees, and their training.
  • Robots in Today’s Society: Artificial Intelligence The most important is the automation of the repeating process, to liberate human power, and avoid mistakes and delays in the processes.
  • Intelligent Transportation Systems: A Robot Project The construction of the robot involved the use of sensors and microchips, accessories also used in ITS technology. The role of the sensors in the robot was to detect obstacles and red light on the […]
  • I, Robot and the Effects of Technology The judgment call is generally made on the quality of life of the humans, with little to no regard for the lifestyle and options available to the robots who have achieved a higher level of […]
  • The Use of Robotics in the Operating Room The da Vinci surgical system is the first and one of the famous Robotics surgical systems used in the operating room.
  • Robotic Visual Recognition and Robotics in Healthcare There are a number of systems and tools are used in order to produce a time-saving and efficient robot. In a number of cases, robots are the extension of a doctor’s skills and also assist […]
  • The Connection Between Science and Technology: The Robotic Fish by Professor HU Furthermore, we discuss the other effects of science in technology and some of the recent technological developments in the rest of the world.
  • Knowledge of Saudi Nurse Managers Towards Robots The main objective of this study is to investigate the attitudes and knowledge of Saudi nurse managers towards the adoption of robotics for remote monitoring and management of elderly patient with chronic illness in an […]
  • 3D Robotics Disrupts the Aviation Industry 3D Robotics describe their business model as perceiving open hardware, drones, and the future of robotics as the part of the community and the company.
  • Robotics. “Humans Need Not Apply” Video Mechanical muscles are more strong and reliable than humans, and the replacement of people by mechanisms in physical work allows society to specialize in intellectual work, develop economics and raise the standards of living.
  • Questionable Future of Robotics In this case, the lecture, which was focusing on the flow of robotics’ development, influenced my perception about the future, robotics’ impact on our lives, and the ability of robots to destroy the humanity.
  • Baxter Robots and Company Performance This technology will impact the performance of companies by reducing the time spent on repetitive duties such as packing. In case my employers buy this robot, I will not be affected personally, but the performance […]
  • Technology: Will Robots Ever Replace Humans? According to the author, one’s intelligence is not being solely concerned with the processing of data in the algorithmic manner, as it happened to be the case with AI it reflects the varying ability of […]
  • Double Robotics Website’s Tracking Strategy The goals of the Doublerobotics.com website are to familiarize audiences with the telepresence industry and to convince both corporate and individual potential customers to purchase a robot.
  • Robot-Assisted Rehabilitation: Article Critique The information about the groups of participants was available to clinicians and study personnel since the only post-stroke individual in the sample needed special procedures to participate.
  • Robotic-Assisted Intervention Effectiveness Modern robots for upper limb training differ in terms of the degrees of freedom, the type of feedback, and the available modes of training.
  • Robotics in Construction Management: Impacts and Barriers The assessment of the economic feasibility of the robotization of individual construction processes is based on cost analysis and the calculation of payback.
  • Rights of ‘Feeling’ Robots and Humans Many futurists believe strongly that new laws will be needed to tame the behaviors and actions of robots. That being the case, autonomous robots might take advantage of their rights to control human beings.
  • Australian Robotics Inc.’s Project Management As such, the measure of success will focus on ascertaining whether or not the project develops a new family of highly flexible, “intelligent” robots that can be used in handling heavy industry tasks.
  • Electronic or Robotic Companions: Business Model The device the usage of which will help to destroy the language bar. The speech of any speaker will be translated and presented to the owner of the device in his/her native language.
  • Robotic Satellites: Implementation Plan and Budget One of the most effective methods of reaching the maximum level of security, not to feel restricted, and reduce spending is the usage of electronic or robotic companions.
  • Robotics’ Sociopolitical and Economic Implications The foremost benefits of Robotics for individuals can be formulated as follows: The continual development/implementation of the Robotics-related technologies will increase the chances of self-actualization, on the part of the potentially affected individuals.
  • Stihl Company and Its Robotics Automation involves the use of robots in the production process. The company’s productivity has come as a result of the automation production practices and its presence across the globe.
  • Will Robots Ever Replace Humans? It is quite peculiar that Bolonkin uses negation in order to stir the audience’s delight; more impressively, the specified approach works the pathos is concealed not in the description of the possibilities, but the compliment […]
  • Welcome Robotic for Abu Dhabi Women College In the year 2009, the college opened a second banch in the city of khalifa to cater for the students who encounter problems relocating to the capital city.
  • Fiat Company: Deployment of Robotics in Manufacturing The technology also enhanced the reduction of production costs by reducing the number of working days without effecting the production and the performance of the company at its peak.
  • Projects “Cyborg” and “New Electrical Apparatus” in Robotics In fact, although Project Cyborg included some medical expertise, the purpose is significantly similar to the project by Nicholson and Carlisle largely because a medical achievement is not one of their aims.
  • Meteorite or Puck Hunt: Autonomous Mobile Robot The Development of the Design Being the first time that we are taking part in this type of competition, we decide to work out a plan that would help us develop the autonomous mobile robot […]
  • Marketing the Wireless Robotic Car By sending the robotic car to a chemical hazard, it is possible to determine the extent of spillage of a liquid or a solid pollutant.
  • A Mobile Robotic Project in the Ohio State University Medical Center In order for the project to be successful there must be a one-to-one contact between those implementing the project and the staff at the hospital.
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10 Ways to Detect AI Writing Without Technology

As more of my students have submitted AI-generated work, I’ve gotten better at recognizing it.

10 Ways to Detect AI Writing

AI-generated papers have become regular but unwelcome guests in the undergraduate college courses I teach. I first noticed an AI paper submitted last summer, and in the months since I’ve come to expect to see several per assignment, at least in 100-level classes.

I’m far from the only teacher dealing with this. Turnitin recently announced that in the year since it debuted its AI detection tool, about 3 percent of papers it reviewed were at least 80 percent AI-generated.

Just as AI has improved and grown more sophisticated over the past 9 months, so have teachers. AI often has a distinct writing style with several tells that have become more and more apparent to me the more frequently I encounter any.

Before we get to these strategies, however, it’s important to remember that suspected AI use isn’t immediate grounds for disciplinary action. These cases should be used as conversation starters with students and even – forgive the cliché – as a teachable moment to explain the problems with using AI-generated work. 

To that end, I’ve written previously about how I handled these suspected AI cases , the troubling limitations and discriminatory tendencies of existing AI detectors , and about what happens when educators incorrectly accuse students of using AI . 

With those caveats firmly in place, here are the signs I look for to detect AI use from my students. 

1. How to Detect AI Writing: The Submission is Too Long 

When an assignment asks students for one paragraph and a student turns in more than a page, my spidey sense goes off. 

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Almost every class does have one overachieving student who will do this without AI, but that student usually sends 14 emails the first week and submits every assignment early, and most importantly, while too long, their assignment is often truly well written. A student who suddenly overproduces raises a red flag.

2. The Answer Misses The Mark While Also Being Too Long

Being long in and of itself isn’t enough to identify AI use, but it's often overlong assignments that have additional strange features that can make it suspicious. 

For instance, the assignment might be four times the required length yet doesn’t include the required citations or cover page. Or it goes on and on about something related to the topic but doesn’t quite get at the specifics of the actual question asked. 

3. AI Writing is Emotionless Even When Describing Emotions 

If ChatGPT was a musician it would be Kenny G or Muzak. As it stands now, AI writing is the equivalent of verbal smooth jazz or grey noise. ChatGPT, for instance, has this very peppy positive vibe that somehow doesn’t convey actual emotion. 

One assignment I have asks students to reflect on important memories or favorite hobbies. You immediately sense the hollowness of ChatGPT's response to this kind of prompt. For example, I just told ChatGPT I loved skateboarding as a kid and asked it for an essay describing that. Here’s how ChatGPT started: 

As a kid, there was nothing more exhilarating than the feeling of cruising on my skateboard. The rhythmic sound of wheels against pavement, the wind rushing through my hair, and the freedom to explore the world on four wheels – skateboarding was not just a hobby; it was a source of unbridled joy.

You get the point. It’s like an extended elevator jazz sax solo but with words.  

4. Cliché Overuse

Part of the reason AI writing is so emotionless is that its cliché use is, well, on steroids.

Take the skateboarding example in the previous entry. Even in the short sample, we see lines such as “the wind rushing through my hair, and the freedom to explore the world on four wheels.” Students, regardless of their writing abilities, always have more original thoughts and ways of seeing the world than that. If a student actually wrote something like that, we’d encourage them to be more authentic and truly descriptive.

Of course, with more prompt adjustments, ChatGPT and other AI’s tools can do better, but the students using AI for assignments rarely put in this extra time.

5. The Assignment Is Submitted Early

I don’t want to cast aspersions on those true overachievers who get their suitcases packed a week before vacation starts, finish winter holiday shopping in July, and have already started saving for retirement, but an early submission may be the first signal that I’m about to read some robot writing.

For example, several students this semester submitted an assignment the moment it became available. That is unusual, and in all of these cases, their writing also exhibited other stylistic points consistent with AI writing.

Warning: Use this tip with caution as it is also true that many of my best students have submitted assignments early over the years.

6. The Setting Is Out of Time

AI image generators frequently have little tells that signal the AI model that created it doesn’t understand what the world actually looks like — think extra fingers on human hands or buildings that don’t really follow the laws of physics.

When AI is asked to write fiction or describe something from a student’s life, similar mistakes often occur. Recently, a short story assignment in one of my classes resulted in several stories that took place in a nebulous time frame that jumped between modern times and the past with no clear purpose.

If done intentionally this could actually be pretty cool and give the stories a kind of magical realism vibe, but in these instances, it was just wonky and out-of-left-field, and felt kind of alien and strange. Or, you know, like a robot had written it.

7. Excessive Use of Lists and Bullet Points  

Here are some reasons that I suspect students are using AI if their papers have many lists or bullet points: 

1. ChatGPT and other AI generators frequently present information in list form even though human authors generally know that’s not an effective way to write an essay. 

2. Most human writers will not inherently write this way, especially new writers who often struggle with organizing information.

3. While lists can be a good way to organize information, presenting more complex ideas in this manner can be .…

4 … annoying. 

5. Do you see what I mean? 

6. (Yes, I know, it's ironic that I'm complaining about this here given that this story is also a list.)

8. It’s Mistake-Free 

I’ve criticized ChatGPT’s writing here yet in fairness it does produce very clean prose that is, on average, more error-free than what is submitted by many of my students. Even experienced writers miss commas, have long and awkward sentences, and make little mistakes – which is why we have editors. ChatGPT’s writing isn’t too “perfect” but it’s too clean.  

9. The Writing Doesn’t Match The Student’s Other Work  

Writing instructors know this inherently and have long been on the lookout for changes in voice that could be an indicator that a student is plagiarizing work. 

AI writing doesn't really change that. When a student submits new work that is wildly different from previous work, or when their discussion board comments are riddled with errors not found in their formal assignments, it's time to take a closer look. 

10. Something Is Just . . . Off 

The boundaries between these different AI writing tells blur together and sometimes it's a combination of a few things that gets me to suspect a piece of writing. Other times it’s harder to tell what is off about the writing, and I just get the sense that a human didn’t do the work in front of me. 

I’ve learned to trust these gut instincts to a point. When confronted with these more subtle cases, I will often ask a fellow instructor or my department chair to take a quick look (I eliminate identifying student information when necessary). Getting a second opinion helps ensure I’ve not gone down a paranoid “my students are all robots and nothing I read is real” rabbit hole. Once a colleague agrees something is likely up, I’m comfortable going forward with my AI hypothesis based on suspicion alone, in part, because as mentioned previously, I use suspected cases of AI as conversation starters rather than to make accusations. 

Again, it is difficult to prove students are using AI and accusing them of doing so is problematic. Even ChatGPT knows that. When I asked it why it is bad to accuse students of using AI to write papers, the chatbot answered: “Accusing students of using AI without proper evidence or understanding can be problematic for several reasons.” 

Then it launched into a list. 

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Erik Ofgang is a Tech & Learning contributor. A journalist,  author  and educator, his work has appeared in The New York Times, the Washington Post, the Smithsonian, The Atlantic, and Associated Press. He currently teaches at Western Connecticut State University’s MFA program. While a staff writer at Connecticut Magazine he won a Society of Professional Journalism Award for his education reporting. He is interested in how humans learn and how technology can make that more effective. 

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Essay on Robotics

Students are often asked to write an essay on Robotics in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Robotics

What is robotics.

Robotics is the science of creating robots. Robots are machines that can do tasks without human help. They can be as small as a toy or as big as a car. Some robots look like humans, but most just have parts to do jobs. They can be used in many places, like factories, hospitals, and homes.

History of Robotics

Robotics started in the 20th century. The first robots were simple machines. They could only do easy tasks. Over time, robots became more complex. They can now do many things humans can do. They can even learn new tasks by themselves.

Types of Robots

There are many types of robots. Some robots are used in factories to build things. These are called industrial robots. There are also robots that help doctors in hospitals. They can do surgeries. Then there are robots that can explore space. They can go to places where humans can’t.

Benefits of Robotics

Robots can do tasks faster and more accurately than humans. They can also do dangerous jobs, keeping people safe. Robots can work 24/7 without getting tired. They can help in many fields, like medicine, manufacturing, and space exploration.

Future of Robotics

The future of robotics is very exciting. Robots will become smarter and more helpful. They will be able to do more complex tasks. Robots will be used in more places and in more ways. They will make our lives easier and safer.

250 Words Essay on Robotics

Robotics is a field in technology that deals with making, working, and using robots. Robots are machines that can follow instructions to do tasks. Some robots can do tasks on their own, while others need human help.

There are many types of robots. Some robots look like humans, these are called humanoid robots. Then, there are industrial robots which are used in factories to make things like cars. There are also robots used in medicine, space exploration, and even in our homes to help with cleaning.

How Robots Work

Robots are run by computers. They follow a set of instructions called a program. This program tells the robot what to do and how to do it. Robots have sensors that allow them to gather information about their surroundings. This information is used to make decisions and carry out tasks.

Benefits of Robots

Robots can do many things that humans cannot do or find hard to do. They can work in dangerous places like space, deep sea, or inside a volcano. They can also do tasks quickly and without getting tired. This is why they are very useful in many areas like science, industry, and medicine.

The future of robotics is very exciting. Scientists are working on making robots that can learn and think like humans. These robots will be able to solve problems and make decisions on their own. They will be even more helpful and can change the way we live and work.

In conclusion, robotics is a fascinating field that is changing our world in many ways. It is a field that is full of possibilities and has a lot to offer in the future.

500 Words Essay on Robotics

Robotics is a branch of technology that deals with robots. Robots are machines that can perform tasks automatically or with guidance. They can do things that are hard, dangerous, or boring for humans. This field combines different branches of science and engineering like computer science, electrical engineering, and mechanical engineering.

The idea of robots has been around for a long time. Ancient Greek myths talk about mechanical servants. The term “robot” itself comes from a Czech word “robota,” meaning forced labor. It was first used in a play in 1920. The first real industrial robot, Unimate, started work in 1961 at a General Motors plant. Since then, robotics has grown a lot.

Robots come in many shapes and sizes to suit different jobs. Some robots look like humans and can do things like talk or walk. These are called humanoid robots. Industrial robots work in factories and can do things like welding, painting, or assembling. Mobile robots can move around. They can be used for things like exploring space or the bottom of the ocean. Then there are medical robots which help doctors in surgeries and patient care.

Robots have several parts. They have a body or frame, motors to make them move, sensors to help them understand their surroundings, and a computer to control everything. The computer uses a program, which is a set of instructions, to tell the robot what to do. The sensors collect information about the world. The computer uses this information to decide what actions the robot should take.

Importance of Robotics

Robots are very important in today’s world. They can do jobs that are dangerous for humans, like defusing bombs or working in nuclear power plants. They can also do jobs that need to be very exact, like in surgery or making computer chips. Robots can also do jobs that are boring or repetitive, like assembling cars in a factory. This helps humans to focus on more interesting and creative tasks.

The future of robotics is very exciting. Robots are becoming smarter and more capable. They are starting to learn from their experiences and make decisions on their own. This is called artificial intelligence. In the future, we might see robots doing even more tasks, like taking care of the elderly or teaching in schools. But we also need to think about how to use robots in a way that is good for everyone.

In conclusion, robotics is a fascinating field that combines many different areas of science and engineering. It has a rich history and an exciting future. Robots are already doing many tasks that help humans, and they are likely to do even more in the future. As we continue to develop and use robots, we must also think about how to do this in a way that benefits everyone.

That’s it! I hope the essay helped you.

If you’re looking for more, here are essays on other interesting topics:

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Apart from these, you can look at all the essays by clicking here .

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'ZDNET Recommends': What exactly does it mean?

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When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNET nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNET's editorial team writes on behalf of you, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form .

How to use ChatGPT to build your resume

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Graduation season is here, which means students will be in a frenzy of applying for jobs to secure their first role out of college. Whether you're seeking to launch your career or have been in the labor market for decades, there's one thing we can all agree on -- creating a resume that attracts the eye of recruiters is a challenge.

How to use ChatGPT to write:  Cover letters  |  Code | Excel formulas | Essays  

As if landing a job that aligns with your qualifications and expectations wasn't difficult enough, you also have to sum up all of your professional experiences and strengths in one application -- the heart of which is the CV or resume. 

A resume is meant to be a concise one-page document highlighting your academic, professional, and leadership achievements, which is just as difficult as it sounds. Finding the right words to summarize what you have done in a role for an extended period in three bullets is difficult, but Open AI's  ChatGPT can make the resume-building process a breeze.

How ChatGPT can help build your resume

You can use ChatGPT to generate ideas and bullet points for your role from scratch, or to refine and optimize your current points that are not hitting the mark. Beyond bullet points, the AI tool can help you answer questions about putting together your resume. Here is how to get started.

Side note:  We are using ChatGPT, but you can use any AI chatbot -- there are plenty of capable AI chatbots to choose from .

1. Choose a resume template

ChatGPT will help you with the text in your resume, but you'll need to pick a template before you get started. The program you're using to write the resume -- such as Google Docs, Microsoft Word, or Canva -- will likely have a resume template already.

Also: What is ChatGPT and why does it matter? Here's what you need to know

A quick Google search for resume templates will also bring up hundreds of editable templates you can import into your program of choice.

2. Sign in to ChatGPT (optional)

On April 1, 2024, OpenAI stopped requiring you to log in to ChatGPT. You can now access ChatGPT simply by visiting ChatGPT's website . However, if you want to take advantage of certain perks, such as being able to revisit the chat later, I recommend signing up. If you want to tweak your bullets at a later date, you won't have to start from scratch and can pick up where you left off.

Also:  How to save a ChatGPT conversation to revisit later

Signing up is easy. All you have to do is go to OpenAI's ChatGPT homepage and create an account by creating an OpenAI login or using your existing Google or Microsoft account. ChatGPT is free, so the sign-up process is simple, requiring no credit cards or obscure information. 

3. Add text

If you want ChatGPT to generate text for your resume from scratch, all you have to do is ask. 

Whether you want it to generate your professional summary or an individual bullet, ask it directly. For example, I asked ChatGPT, "Can you write a short, professional resume summary about my role as a tech reporter?" Within seconds, it generated what you see in the screenshot above.

Also: 6 helpful ways to use ChatGPT's Custom Instructions

Although ChatGPT can create content ready to be copied and pasted into a resume, you should tweak the text so it is personalized to your experiences and doesn't look like a chatbot wrote it.

Employers want to learn about what makes you unique. Without your assistance, the chatbot will only have access to generic content about your role. You can also use the Custom Instructions feature to share some details about your role and interests that ChatGPT can reference to output the text. 

4. Use ChatGPT to revamp your text

Whether you fill out the template yourself before using ChatGPT's assistance or have an existing resume you want to enhance, ChatGPT is a great resource for polishing up text. 

All you have to do is copy and paste your text and ask ChatGPT to make it better. 

Also: The best AI chatbots: ChatGPT and other interesting alternatives to try

For example, I asked ChatGPT, "Can you make this resume bullet sound better: I write stories about technology." Within seconds, it pushed out an elaborate bullet point that incorporated a professional tone and made that simple sentence more complex, as seen in the screenshot above.

Once you get your result, you can always tell ChatGPT to tweak it further with prompts like, "Make it shorter" or "Can you include [additional details]?" 

How much does it cost for ChatGPT to write my resume?

ChatGPT is currently free to use regardless of what you use it for, which includes resume-building assistance. 

How can ChatGPT help me with my resume?

ChatGPT can generate text for different parts of your resume, including your professional summary and individual bullet points for each experience.

Also:  How to nail the 'Do you have any questions for me?' part of the interview

The chatbot can also help enhance your current resume by optimizing your text. If you have any questions about how to format your resume and what to include, ChatGPT can give you some answers.

What should I put in my resume?

Ideally, you want a resume to highlight all your career accomplishments. This can include any educational, professional, and leadership experiences that are meaningful to you. You should also include as much detail about your unique experiences to make you stand out from other applicants.

How to use Copilot Pro to write, edit, and analyze your Word documents

Four journal apps that are secure and easy to use, how to turn any photo into a professional headshot with canva ai.

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  3. Essaybot: Free Essay Writing Tool

    Essaybot is a 100% free professional essay writing service powered by AI. We offer essay formats for Argumentative Essay, Expository Essay, Narrative Essay, ITELS & TOEFL Essay and many more. Provide academic inspiration and paragraphs to help you in writing essays and finding citations. Finish your essay in 30 minutes!

  4. Yomu AI

    Yomu is an AI-powered writing assistant that helps you write better essays, papers, and academic writing. Simply start typing and Yomu will generate suggestions for you to use in your writing. You can also use Yomu to generate entire paragraphs or sections. Yomu also helps find citations, references, and sources for you to use in your writing.

  5. AI Essay Writer

    Generate high-quality essay drafts based on a given topic, using AI-powered research and referencing. HyperWrite's AI Essay Writer is a revolutionary tool that simplifies the essay writing process. Whether you're a student, teacher, or professional, this tool can generate a high-quality essay draft based on your given topic, using AI to research and reference information. Say goodbye to writer ...

  6. Free AI Writing Resources

    Write a research question. Generate three possible research questions for an argumentative high school essay on the following topic: "The long-term impact of the Covid-19 pandemic." Brainstorm topic ideas. Generate 10 questions to help me brainstorm topics for my college admission essay. Quiz yourself. I'm learning about [insert topic ...

  7. Free AI Writer, Content Generator & Writing Assistant

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  8. How ChatGPT (and other AI chatbots) can help you write an essay

    1. Use ChatGPT to generate essay ideas. Before you can even get started writing an essay, you need to flesh out the idea. When professors assign essays, they generally give students a prompt that ...

  9. My A.I. Writing Robot

    Infinite Scroll. My A.I. Writing Robot. A new wave of artificial-intelligence startups is trying to "scale language" by automating the work of writing. I asked one such company to try to ...

  10. Hubble.ai

    Hubble is building AI-powered tools for students, starting with an essay writer and summarizer. Hubble helps student excel academically and professionally. Hubble. Sign up Login. New Document. New Document. Trial Plan Overview. You have used 6 of 6 free essays and summaries. ... Start writing essays with Hubble for free.

  11. I Tested Three AI Essay-writing Tools, and Here's What I Found

    You can unlock unlimited credits, unlimited autocomplete, unlimited sources, and more for $14 per month. Conclusions. Overall, EssayGenius and JotBot were the best AI tools I tested. I was ...

  12. AI Essay Writer ᐉ Stylus

    Incorporate our write-my-essay AI to boost your productivity, gain inspiration, and achieve ambitious academic goals effortlessly. ... Our AI robot essay writer was created by experts in their fields who have graduated from top US colleges and universities. Their combined expertise ensures that Stylus is the best-suited and most reliable ...

  13. How to edit writing by a robot: a step-by-step guide

    Step 1: Ask a computer scientist for help. Liam Porr, a computer science student at Berkeley, has published articles written by GPT-3 in the past, so was well-placed to serve as our robot-whisperer.

  14. AI Essay Writer: Free AI Essay Generator

    Produce Better Essays than ChatGPT. Our essay generator is designed to produce the best possible essays, with several tools available to assist in improving the essay, such as editing outlines, title improvements, tips and tricks, length control, and AI-assisted research. Unlike ChatGPT, our AI writer can find sources and assist in researching ...

  15. 'Full-on robot writing': the artificial intelligence challenge facing

    A 2021 Forbes article about AI essay writing culminated in a dramatic mic-drop: "this post about using an AI to write essays in school," it explained, "was written using an artificial ...

  16. In an AI world we need to teach students how to work with robot writers

    AI writers work lightning fast. They can write in multiple languages and can provide images, create metadata, headlines, landing pages, Instagram ads, content ideas, expansions of bullet points and search-engine optimised text, all in seconds. Students need to exploit these machine capabilities, as writers for digital platforms and audiences.

  17. QuillBot's Guide to Essay Writing

    The 7 Steps to Writing an Essay. This is where it gets extremely easy. This is what you're here for. We're about to break essay writing down into the simplest terms and most convenient definitions. Here's the TL;DR Version of our basic, 7-Step Essay-Writing Workflow: See, 6 main steps, and then you submit your assignment as the 7th and ...

  18. Free AI-Powered Essay and Paper Checker—QuillBot AI

    Our free essay checking tool gives your essay one final review of usage, grammar, spelling, and punctuation. You can feel great every time you write an essay. Utilize our AI-powered essay and paper checker for precise analysis and correction. Enhance your writing with our efficient AI essay and paper checker tool.

  19. A new tool helps teachers detect if AI wrote an assignment

    ChatGPT is a buzzy new AI technology that can write research papers or poems that come out sounding like a real person did the work. You can even train this bot to write the way you do. Some ...

  20. 8 Ways to Create AI-Proof Writing Prompts

    2. Forbid Cliché Use. Probably the quickest and easiest way to cut back on some AI use is to come down hard on cliché use in writing assignments. AI tools are essentially cliché machines, so ...

  21. 111 Robots Topic Ideas to Write about & Essay Samples

    Robots and Artificial Intelligence. One the one hand, with artificial intelligence and fully autonomous robots, organizations will be able to optimize their spending and increase the speed of development and production of their commodities. We will write. a custom essay specifically for you by our professional experts.

  22. Paraphrasing Tool

    QuillBot's AI-powered paraphrasing tool will enhance your writing. Your words matter, and our paraphrasing tool is designed to ensure you use the right ones. With unlimited Custom modes and 9 predefined modes, Paraphraser lets you rephrase text countless ways. Our product will improve your fluency while also ensuring you have the appropriate ...

  23. 10 Ways to Detect AI Writing

    4. Cliché Overuse. Part of the reason AI writing is so emotionless is that its cliché use is, well, on steroids. Take the skateboarding example in the previous entry. Even in the short sample, we see lines such as "the wind rushing through my hair, and the freedom to explore the world on four wheels.".

  24. Essay on Robotics

    Students are often asked to write an essay on Robotics in their schools and colleges. And if you're also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic. ... Robotics is the science of creating robots. Robots are machines that can do tasks without human help. They can be as small as a toy or as big ...

  25. How to use ChatGPT to build your resume

    Here is how to get started. Side note: We are using ChatGPT, but you can use the AI chatbot of your choice because there are plenty of capable AI chatbots to choose from. 1. Choose a resume ...