How to identify AI generated text?

by | Thursday, June 01, 2023

I think I solved the biggest educational challenge of our time, namely:

How do we recognize AI generated text from human-created ones?

Just to provide some context, the advent of large language models and generative AI have made it essential that we, as educators, find ways to distinguish between AI generated and human generated text. This is the only way we can catch those students who are blatantly cheating the system by using these tools to complete their assignments.

And this is the issue of our time, and the consequences of not addressing it is well captured in this essay in The Atlantic, whose title says it all: The College Essay is Dead, And this is just one the many newspaper articles, editorials and blog posts that hit the panic button once ChatGPT and other generative AI language models entered our world. And of course, we have a range of responses to this perceived crisis. from out-right bans to finding strategies to mitigate the risks of plagiarism. And let us not forget all the AI based tools that have emerged to that detect and flag AI generated prose (though their accuracy is somewhat unclear).

Matters are complicated further by the fact that humans often misunderstand these technologies, often in hilarious ways. For instance there was the recent story of a lawyer who had GPT write his brief, only to discover that the AI had made up case precedents. These things hallucinate.

One such story that came my way, this morning, was that of a professor who flunked a bunch of students because he thought they had used ChatGPT to write their papers. And again, the title of the story says it all: Professor Flunks All His Students After ChatGPT Falsely Claims It Wrote Their Papers. Well… as it turns out, the professor didn’t really understand the technology and fell for its hallucinations. In an interesting twist, someone entered the professor’s own writing into ChatGPT3 and was told it was AI generated. As the Rolling Stone story reports it:

In an amusing wrinkle, Mumm’s claims appear to be undercut by a simple experiment using ChatGPT. On Tuesday, redditor Delicious_Village112 found an abstract of Mumm’s doctoral dissertation on pig farming and submitted a section of that paper to the bot, asking if it might have written the paragraph. “Yes, the passage you shared could indeed have been generated by a language model like ChatGPT, given the right prompt,” the program answered.

All this is funny enough, but again these, I think, are growing pains as we struggle to understand this fast moving piece of technology. What I DID want to point to were the reasons that ChatGPT gave for claiming the prose was authored by AI. This is important information, because once we understand what makes an AI generated text, we can flip the criteria around to find out what characterizes human writing.

Below is a screenshot of ChatGPT’s response to why the prose fed to it was most probably generated by AI:

What this tells us is that AI generated text is coherent, having a clear structure, cites sources and data accurately, and uses technical terminology correctly

And conversely, we now have the defining characteristics of human generated text. Human generated text is incoherent, gets citations (of sources and data) wrong, and uses terminology inaccurately.

There we go. I am so glad we figured THAT out.

And yes, you are welcome!

Topics related to this post: Essay

A few randomly selected blog posts…

TPCK (a.k.a TPACK) as Article of the Week!!

Teachers College Record chooses a couple of articles each week to offer freely to visitors to its website. These are featured in their email newsletter (TCRecord this week), and goes out to thousands of people. Imagine my surprise when I opened my newsletter a few...

Harris, Mishra & Koehler, republished

Back in 2009, Judi Harris, Matt Koehler and I published in a piece in the Journal of Research on Technology in Education. That article has now been included in a book, titled: Considerations on Technology & Teachers: The Best of JRTE, edited by Lynne Schrum, and...

Creativity Now!: Learning from Creative Teachers

Educational Leadership is the flagship publication of ASCD (formerly the Association for Supervision and Curriculum Development). It has a circulation of over 160,000 and is regarded as "an authoritative source of information about teaching and learning, new ideas and...

How to author 85,000 (or is it 200,000) books…

Andrea Francis just emailed me a note about Professor Phillip Parker who is the world's fastest book author. He has over the past five years over 85,000 books to his name. He is also the most eclectic. As the article says, "He has authored some 188 books related to...

Chiayi, Chung Cheng & on to Kuosheng

I had been looking forward to the high speed rail journey though I had some concerns about navigating through the train station since most of the signs were in Chinese and Waiway (the graduate student who had come to pick me up from the airport) could not come with me...

The TPACK framework in the Handbook of Ed Comm & Tech (4th Ed.)

Hot off the press: The Handbook of Research on Educational Communications and Technology, edited by Spector, Merrill, Elen & Bishop. And we have a chapter in it... Complete reference and abstract below:  Koehler, M. J., Mishra, P., Kereluik, K., Shin, T.S., &...

AI in teaching & learning: A critical response (by AI)

AI in teaching & learning: A critical response (by AI)

AI in education can aid But bias and fairness must be weighed Educators and students must co-design To make assessments more fine And ensure learning growth is not delayed The above is a limerick created by AILYZE (www.ailyze.com) to summarize the recently released...

Designing learning futures through reflective practice: 1 of 2

Designing learning futures through reflective practice: 1 of 2

This is the first of two posts on the topic of bringing principled innovation practices to designing learning futures. The first post (co-authored by Punya Mishra & Cristy Guleserian) focuses on the need for designing learning futures, and how the PI practices...

Demotivational Posters II

A few weeks ago I posted a note about an assignment I gave my students in the on-campus version of the MAET program. They had completed an unit on motivation and had watched the RSA / Daniel Pink video and their task was was to create demotivational posters, (along...

3 Comments

  1. Marckie Zeender

    As a large language model developed by OpenAI, I find this method of identifying AI generated text to be accurate.

    Reply
  2. Mehedy

    You are a masterpiece.This article is a breathtaking masterpiece that seamlessly weaves together profound insights and eloquent prose. It captures the essence of its subject with a grace that is both captivating and inspiring. A true gem that leaves the reader spellbound and hungry for more. Bravo!

    Reply
    • Punya Mishra

      This comment is clearly spam. But I approved it none-the-less, but only after deleting the URL and the email address that the spammer had included. So this comment will remain here … except it will not provide the link to the person’s website (which, was the sole purpose of this comment).

      Reply

Submit a Comment

Your email address will not be published. Required fields are marked *