Current Resources: Articles/Op-Eds/Webinars/Courses about AI & ChatGPT

Generative AI Repository

September 2023

Everyone Is Above Average: Is AI a Leveler, King Maker, or Escalator? Mollick argues that AI is serving as a skill leveler, significantly elevating the performance of lower-skilled workers across various fields to or above average levels, thereby narrowing the skill gap. (Ethan Mollick’s One Useful Thing; Sept. 24).
Want Your Students to Be Skeptical of ChatGPT? Try This. A useful exercise for exploring ChatGPT. (The Chronicle; Sept. 24)
Microsoft, Google Build Their Worlds around AI It’s NOT just about ChatGPT. A discussion of the built in features that are coming and have come to word processing and other programs. (Axios; Sept. 22)
The Reversal Curse: LLMs Trained on “A Is B” Fail to Learn “B Is A” This paper “expose(s) a surprising failure of generalization.” To read an easier-to-follow (for us non-Math people) overview, look at this (alarmist?) explanation Elegant and Powerful New Result that Seriously Undermines Large Language Models. Very interesting. (Substack; ArXiv; Sept. 21)
If ChatGPT Can Do It It’s Not Worth Doing A contrarian response to Ethan Mollick’s research below. Writing teacher John Warner critiques the reliance on large language models like ChatGPT for writing tasks, asserting that their ability to mimic human writing in educational and professional fields may devalue genuine learning and originality, and calls for a critical reassessment of tasks that truly require human innovation and thought. (Inside Higher Ed; Sept. 21)
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity *Ed’s Recommendation In a study with Boston Consulting Group, consultants using AI, like GPT-4, showed increased productivity and quality in specific tasks, but struggled in others, with two distinct AI-use patterns emerging: “Centaurs” dividing tasks and “Cyborgs” fully integrating AI. To read an overview of this study, go to this article, “Centaurs and Cyborgs on the Jagged Frontier” by Ethan Mollick, one of the researchers. Mollick teases the piece with this pull quote: I think we have an answer on whether AIs will reshape work. (Harvard Business School Technology and Operational Mgt.; Sept. 18)
Teachers Are All In on Generative AI Note that the article focuses on how instructors (mostly k-12) are using generative AI to create teaching materials (Wired; Sept. 15).
Stop Focusing on Plagiarism, Even Though ChatGPT Is Here *Ed’s Recommendation A discussion of how to create a culture of trust in the classroom, with helpful links to other resources. (Harvard Business Publishing; Sept. 14)
AI: Brilliant but Biased Tool for Education The author discusses how ChatGPT has raised concerns among educators, leading to debates about its impact on learning and academic integrity. In response, institutions are exploring ways to adjust their teaching methods, with some incorporating AI into assignments to encourage critical thinking, while also emphasizing the importance of recognizing biases in AI-generated information and the need for students to master these tools for a technologically advanced future.
(Diverse Issues in Higher Education; Sept. 13)
Why Professors Are Polarized on AI *Ed’s Recommendation Explores faculty divisions over the use of AI in higher ed. While the discussion of “tribalism” may be a stretch, the piece looks at how instructors are lining up into pro- and anti- AI camps. (Inside Higher Ed; Sept. 13)
AI Means Professors Need to Raise Their Grading Standards *Ed’s Recommendation English professor Michael W. Clune expresses concern over the rise of AI tools like ChatGPT in producing “merely competent” student essays, and he sees these compositions as lacking in educational value due to their absence of originality and human sensibility. (Chronicle of Higher Ed; Sept. 12)
So let’s say you want to use an idea produced by ChatGPT—should you give ChatGPT credit for the ideas? Here is an unscientific survey of Wall Street Journal readers on the topic. (WSJ; Sept. 10)
Paper Retracted When Authors Caught Using ChatGPT to Write It The issue is a little more involved than the headline suggests, but it is true that the authors did not disclose their use of the LLM. The basic issue was transparency rather than any piece of incorrect information. Something to think about when using ChatGPT for editing. (The Byte; Sept. 9)
M.B.A. Students Vs. ChatGPT: Who Comes Up with More Innovative Ideas? Two professors at Wharton put the question to the test and discovered that ChatGPT outdid the MBA students. They found the result “were not even close.” (WSJ; Sept. 9, 2023)
Large-Scale Automatic Audiobook Creation Did you know? Project Gutenberg has uploaded audiobook versions of many of their titles thanks to AI tech. (Sept. 7, 2023)
What Will Determine AI’s Impact on Higher Education? 5 Signs to Watch *Ed’s Recommendation A must-read providing an overview of the generative AI landscape in higher ed. While there are plenty of cautions, despite the criticisms, experts believe generative AI is here to stay, with rivals to OpenAI developing their own models. The introduction of AI in education has led to discussions about the essence of learning. Some believe that the focus should be on motivating students to learn rather than preventing AI usage. (The Chronicle; Sept, 8; If the link does not work, you can find this article on the STL databases.)
Using LLMs Like ChatGPT to Quickly Plan Better Lessons *Ed’s Recommendation Graham Clay (a philosophy instructor currently teaching at University College Dublin and co-founder of AutomatedED) is a thoughtful generative AI adopter. In this article, he give tips on using generative AI to “increase the quality of . . . lesson plans.” You may find his prompts useful. (AutomatedED; Sept. 8)
Explain Which AI You Mean The author cautions us about the way the term “AI” is being thrown around in the media and in conversations to describe processes that really should not be considered artificial intelligence—not all computer programs are related to advancement in Large Learning Models, much less were they designed to pass something like the Turing Test. Also, there are several types of AI, broken down broadly into generative AI and predictive AI. Yes, you need a Medium membership to read the post in its entirety, but even the first few (free) paragraphs are worth a review. (Medium; Sept. 5)
Embracing Weirdness: What It Means to Use AI as a Writing Tool *Ed’s Recommendation. Another interesting article by Ethan Mollick (Wharton; UPenn). Great article about how generative AI can move beyond just being a thesaurus or grammar checker. One area of focus is on setting up chat bots to read and react as a specific audience in order to fully understand the rhetorical situation. Well worth the read! (One Useful Thing; Sept. 5)
Risks and Rewards as Higher Ed Invests in an AI Future *Ed’s Recommendation. This is especially eye-opening when one considers the investment made in SUNY Albany’s AI initiatives. (Inside Higher Ed; Sept. 5)
How Worried Should We Be About AI’s Threat to Humanity_ Even Tech Leaders Can’t Agree. – WSJ A lengthy feature story by the WSJ that provides a snapshot of various views among AI expert. If you want to take the pulse of AI researchers, give this a read. (WSJ; Sept. 4)
On Copyright and AI *Ed’s Recommendation This piece, which was written by Jeff Jarvis a professor at CUNY’s journalism school, looks at cases that are currently before the courts. Jarvis asserts that “. . . it is hard to see how reading and learning from text and images to produce transformative works would not be fair use. I worry that if these activities — indeed, these rights — are restricted . . . precedent is set that could restrict use for us all. As a journalist, I fear that by restricting learning sets to viewing only free content, we will end up with a problem parallel to that created by the widespread use of paywalls in news: authoritative, fact-based reporting will be restricted to the privileged few who can and choose to pay for it, leaving too much of public discourse vulnerable to the misinformation, disinformation, and conspiracies available for free, without restriction.” Still, the claim is somewhat ironic, given his post is behind a paywall. (Medium; Sept. 2)
College Admissions: Should AI Apply? The author discusses how AI generated college application essays are uninspired and not likely to get anyone into Harvard. However, AI bots can be helpful for students who may feel stuck with an essay prompt. And why some institutions like Yale regard the use of AI generators as a form of plagiarism when it comes to the college essay, other schools like Virginia Tech view such programs as a way to “democratize the [college application] process.” Interesting article. (IEEE Spectrum; Sept. 1)
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (Scholarly Article Link) and Medium Article by Peter Xing (digesting the research). So, it looks as if programmers/researchers are finding ways to train Large Language Models that “match the performance of traditional reinforcement learning from human feedback” (RLHF). At least it works with summarizing text. This points to the probability that ChatGPT and other such programs will be able to become better at producing text that human evaluators prefer. (Sept. 1 2023)

August 2023

OpenAI Disputes Authors’ Claims that Every ChatGPT Response Is a Derivative Work Open AI’s central argument is that its goal was “to teach its models to derive the rules underlying human language” and not to repackage and sell copyrighted work or give users the ability to do so. (Ars Technica; Aug. 30)
We Analyzed Millions of ChatGPT User Sessions If you are interested in how ChatGPT is being used, you may be surprised to find that about 30% of the time, it is being used to write computer code. This is an interesting snapshot of usage happening in the months before the first day of Fall 2023 classes. This article has some fascinating charts! Written by a Silicon Valley startup CEO. (SparkToro; Aug. 30).
We Still Must Make Students Write *Ed’s Recommendation (Inside Higher Ed; Aug. 29 2023)
4 Questions to Ask Before Swapping Human Labor for AI *Ed’s Recommendation Short piece that presents us with sensible questions to ask about the role of generative AI. (MIT Initiative on the Digital Economy; Aug. 28, 2023)
ChatGPT Calls for Scholarship, Not Panic Written by our own Andrew Higgins (English)! *Ed’s Recommendation (Inside Higher Ed; Aug. 25, 2023)
The Next Step Is Responsible AI. How Do We Get There? *Ed’s Recommendation An easy-to-understand, brief article written by a data scientist. (Medium; Aug. 25)
August 26 Webinar: Association of College & University Educators / AI and Higher Education
How Schools Can Survive (and Even Thrive) with AI (NYT; Aug. 24, 2023)
Bias Optimizers A reminder that systems trained on biased source material are . . . biased. (American Scientist; July-Aug. 2023; permalink to article via STL)
OpenAI Opens ChatGPT 3.5 Turbo Up for Custom Tuning This move enables companies to “fine-tune” chatbots using their own data, and it is likely going to be one of the most useful uses of generative AI. (The Verge; Aug. 22, 2023)
Now Is the Time for Grimoires *Ed’s Recommendation Ethan Mollick (Wharton) makes his case for developing open access libraries for AI prompts. (Note: “Grimoires” is used to refer to “a book of spells.” As usual, Mollick gives the reader a lot to think about! (Aug. 20, 2023)
AI on the Brink Futurist Bryan Alexander (Georgetown) provides an expansive look at AI, and not all his predictions are rosy! (Bryan’s Substack; Aug. 20, 2023)
You’ve Checked Out the New AI Tools. Now What? *Ed’s Recommendation A timely article for FA23 lesson planning! (Chronicle of HE; Aug. 17 2023) Access through STL
The Growing Revolt Against AI Data Scraping The basic question is: Should unapproved content be used as training data for LLMs, and does it qualify as fair use? (Medium (may be behind paywall); Aug. 15, 2023)
Scientists Say New Tool Makes Images Worthless for Training AI Researchers at U Chicago have come up with a tool to protect artists’ work from being used to train AI. Interesting. (The Byte; Aug. 15, 2023)
Automating Creativity: There Is Now Strong Evidence That AI Can Help Make Us More Innovative *Ed’s Recommendation Another well-argued piece by Ethan Mollick (One Simple Thing; Aug. 13, 2023)
What if Generative AI Turned Out to Be a Dud? A counter-argument to the “generative AI is revolutionary” position. Interesting. (Gary Marcus–Substack; Aug. 12, 2023)
News Outlets Demand New Rules for AI Training Data (The Verge; Aug. 10)
The Creative Ways Teachers Are Using ChatGPT in the Classroom *Editor’s Recommendation (Time; Aug. 8)
The Phone Book Challenge A great idea for using ChatGPT to practice reasoning and critique. (Inside Higher Ed; Aug. 9)
AI Language Models Are Rife with Different Political Biases *Editor’s Recommendation An important topic to discuss with students. (MIT Tech Review; Aug. 7, 2023)
Here Comes the Second Year of AI in College Behind a paywall for now (and not available via the library), but if you subscribe to The Atlantic, you can retrieve it. (The Atlantic; Aug. 7 2023)
Shockwaves & Innovations: How Nations Worldwide Are Dealing with AI in Education Subheading: Other countries are quickly adopting artificial intelligence in schools. Lessons from Singapore, South Korea, Indian, China, Finland, and Japan. (The 74; Aug. 7)
Elevate Your Case Prep with ChatGPT: 5 Ways AI Can Help You Ask Better Questions and Plan More Thoughtful Class Discussions *Ed’s Recommendation (Inspiring Minds; Harvard Business School Publishing; Aug. 2 2023)
Embracing Constructive Dialogue and Oral Assessments in the Age of AI *Editor’s Recommendation A great read for all faculty, whether you are considering using ChatGPT and generative AI in your classes or not. (Inside Higher Ed; Aug. 3).
Four Charts Showing Why AI Progress Is Unlikely to Slow For those of us who like charts. (Time; Aug. 2)
AI Has Finally Become Transformative – WSJ The focus is on business, but interesting. (WSJ Opinion; Aug. 2)
In Praise of Boring AI Ethan Mollick posits that generative AI can be best leveraged to do our most tedious kind of work. (One Useful Thing Substack; Aug. 2)
Scared of AI? Don’t Be. Computer Science Instructors Say (Chronicle of HE; Aug. 2 2023)
Talkin’ ‘Bout AI Generation: Copyright and the Generative AI Supply Chain A scholarly article (the authors are at Cornell) that explores the complex copyright issues raised by the generative AI supply chain, without seeking definitive answers but highlighting key decision points where the analysis diverges. (SSRN; Aug. 1)
The AI Rules that US Policymakers Are Considering, Explained (Vox; Aug. 1 2023)
AI Is Thirsty Each chat with a large-language Model is like dumping a bottle of water on the ground says the author. Interesting metaphor to describe (Medium; Aug. 1)

July 2023

Professors Craft Courses on ChatGPT with ChatGPT (Inside Higher Ed; July 31)
From AI to A+: Prepare Your Students for Using ChatGPT and Other AI *Editor’s Recommendation Written by a Professor of Educational Technology at George Washington U. Great advice—whether you plan to incorporate AI use or not in your classes. (Medium; July 28).
If Your Syllabus Needs a Refresh, Generative AI Can Help 4 simple ways ChatGPT can help you build richer courses. (Harvard Business Publishing; July 27)
Academic Success Tip: Working Smarter with ChatGPT A professor at the University of Iowa taught students how to get better results from ChatGPT with a classroom assignment. (Inside Higher Ed; July 26)
OpenAI Scuttles AI-Written Text Detector Over “Low Rate of Accuracy” (TechCrunch; July 25)
Eight Things Educators Need to Know about AI *Editor’s Recommendation An easy-to-follow, tech-light piece by a Senior Advisor at the Stanford Graduate School of Eduction (Medium; July 24)
Why a Notre Dame Professor Bets AI Is Good for the Humanities The title says it all. Worth a read. (AutomatED; July 24)
OpenAI, Google and More Agree to White House List of AI Safety Assurances The most interesting of these may be the watermarking of text and images created by generative AI. However, please refer to the March 17 article: Can AI-Generated Text Be Reliably Detected? (Tech Republic; July 24)
On Holding Back the Strange AI Tide *Site Editor’s Recommendation. If you read one article about the current state of AI and higher ed . . . seriously. (One Useful Thing; Ethan Mollick*, July 23)
Paving the Path for Blue Collar AI Professionals A technologist examines certificate programs colleges are starting to offer in AI-related fields. (Medium; July 23)
How Colleges and Universities Are Responding to AI Now *Site Editor’s Recommendation For those interested in taking the pulse of higher ed in Summer 23, this article by futurist Bryan Alexander provides a succinct overview. (Substack; July 17)
Maybe Showing Off an AI-Generated Fake TV Episode During a Writers’ Strike Is a Bad Idea For those interested in how AI can create a South Park spoof, this article has a link to the finished product. (TechCrunch; July 17)
AI Eroding AI? A New Era for Artificial Intelligence and Academic Integrity Provides specific recommendations. (Faculty Focus; July 19)
Is ChatGPT Getting Worse Over Time? A rebuttal to the research paper below. (AI Snake Oil (blog); July 19)
How Is ChatGPT’s Behavior Changing Over Time? Researchers from Stanford and Berkeley suggest the LLM is getting . . . dumber? (arXiv.org; July 18)
Students’ Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education An interesting study, conducted in Hong Kong. (International Journal of Ed Tech in Higher Ed; July 17 2023)
Here Are Ways Professional Education Leaders Can Prepare Students for the Rise of AI An interesting article by the Dean of William and Mary Law School (Higher Ed Dive; July 17)
Why AI Detectors Think the US Constitution Was Written by AI Another caution about the limits of AI detectors. (Ars Technica; July 14)
As AI Continues to Progress, Opportunities and Warnings Abound Snapshot of some teaching practices around AI. (Diverse Issues in Higher Education; July 14)
AI Junk Is Filling the Internet (WSJ; July 17)
AI and the Next Digital Divide in Education (Brookings Institute; July 10)
AI Safety and the Age of Dislightenment(Sic) Interesting opinion piece about move to regulate AI and unintended consequences. (fast.ai; July 10)
GPT Detectors Are Biased Against Non-Native English Writers The popular press picked up this story. Here is a link to the research. (Patterns; July 10)
AI Has a Language Diversity Problem. Humans Do Too An interesting look at the dangers and promises of AI, with a deeper reflection on linguistic diversity. (Inside Higher Ed; July 10)
A Specter is Haunting Higher Education: Fall Semester after the Generative AI Revolution *Site Editor’s Recommendation. If you want a great overview of where we are now, take a look at this article from a higher ed futurist. It contains links to other valuable articles. (Byran’s Substack; Bryan Alexander; July 7)
Building the AI Talent Pipeline A look at one college’s approach to training students for an AI workforce; (Inside Higher Ed; July 7)
The Critique of AI as a Foundation for Judicious Use in Higher Education (Journal of Applied Learning & Teaching; July 6)
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks MIT and BU researchers look at LLM. For comp. sci/ engineering folk interested in recent LLM research (although the casual reader may benefit from reading the discussion and conclusion sections). (arXIV.org; July 5)
Rethinking Online Assessment Strategies: Authenticity Versus AI Chatbot Intervention (Journal of Applied Learning & Teaching; July 2)
AI Ozymandias A rambling philosophical blog post worth a read. (Fredie deBeour; July 3)
In Defense of Humanity An opinion piece by Adrienne LaFrance about the need to “resist over-reliance on tools that dull the wisdom of our own aesthetics and intellect. (The Atlantic; July 1 2023)
The Homework Apocalypse *Site Editor’s Recommendation. This is a deep dive into why Fall 23 is going be to different for most of us. Contains useful links. (One Useful Thing; Ethan Mollick*, July 1)

*Ethan Mollick’s Substack is worth subscribing to. While you may not wind up agreeing with what he has to say all the time, Mollick (Wharton) knows a lot about AI developments.

June 2023

On One Creative Use of AI A case study of how AI can be used in creative storytelling. (Bryan’s Sbstack; Bryan Alexander; Jun 30)
ChatGPT Prompt Guide *Site Editor’s Recommendation A basic overview of prompts. If you are interested in experimenting with generative AI writing, start here. (Jeff Swisher; June 29)
Suspicions, Cheating, and Bans: AI Hits American’s Schools Includes interviews with students. Very interesting. *Site Editor’s Recommendation (NYTimes; June 28)
A Professor Encouraged Students to Use ChatGPT. OpenAI Asked Her What She Learned (Tech & Learning; June 29)
AI Is the Scariest Beast Ever Created With a nod to H.P. Lovecraft! (Newsweek; Bruce Stirling; June 28)
7 Strategies to Prepare Educators to Teach with AI Intended for K-12, but useful for higher ed.; (Education Week; June 27)
AI’s Big Deal: AI in the Classroom *Site Editor’s Recommendation This article provides a good overview of where we are. (Tech & Learning; June 26)
We’ll Need to Put Humanism at the Center of Generative AI (Harvard Business Review; Daniel Julien; June 23)
Student and Faculty Perspectives on Digital Learning Differ (Inside Higher Ed; June 21)
Building the New Model for Teaching and Learning A look at the OpenAI Academy—which is coming soon. (Inside Higher Ed; June 21)
ChatGPT: Deconstructing the Debate and Moving It Forward *Site Editor’s Recommendation The author considers the ethical debates around generative AI. (AI & Society; June 21)
The People Paid to Train AI Are Outsourcing Their Work . . . to AI Not a surprise. Refer to the article below. (MIT Tech Review; June 22; about inherent biases)
AI Is a Lot of Work A sobering look at a “vast task underclass” that is developing around AI. (The Verge; June 20)
Why We Failed to “Plagiarize” an Economics Project with AI *Site Editor’s Recommendation A test case of an instructor attempting to best an assignment that was designed to be AI-proof. Contains some great recommendations (AutomatedED; June 19)
Are Your Students Ready for AI?:A Four-Step Framework to Prepare Learners for a ChatGPT World*Site Editor’s Recommendation Even if you are not interested in introducing AI into your pedagogy at present, this is worth the read. Harvard Business School is obviously on board with AI. (Harvard Business Publishing; June 15)
Embracing ChatGPT and other Generative AI Tools in Higher Education: The Importance of Fostering Trust and Responsible Use in Teaching and Learning *Site Editor’s Recommendation. A thoughtful piece which contains some concrete examples and questions to use with students. (J. Sim; The Head Foundation; June 15).
The Real Challenge of AI Bemoans the fact that government and industry are not taking steps to protect those most vulnerable to AI disruptions. (Inside Higher Ed; June 15)
How Do We Respond to Generative AI in Education? Open Educational Practices Give Us a Framework for an Ongoing Process *Site Editor’s Recommendation Provides a look at how faculty can share information about best teaching practices and take other steps to response to the AI revolution. (Journal of Applied Learning and Teaching; June 11)
Teaching Creatively with AI (Webinar; Bryan Alexander: Future Trends Forum; June 9)
Why AI Will Save the World Provocative title! An interesting, wide-ranging reflection by by Marc Andreessen (former U of Illinois academic, now venture capitalist) (June 6, 2023)
What’s a Word Worth in the AI Era?* Site Editor’s recommendation This would be a wonderful article to share with students as the author emphasizes the value of a student’s own words and voice. (Inside Higher Ed; June 8)
How AI Tools both Help and Hinder Equity (Inside Higher Ed; June 5)

May 2023

Closing the Equity Gap with ChatGPT David Wiley, founder of Lumen, seems intrigued by the potential of generative AI. (David Wiley; blog; May 15)
How Using AI Optimizes Instruction and Learning in Secondary Writing A discussion with a K-12 teacher using AI. (EdSurge; May 15)
3 Ways Higher Education Can Prepare for the Generative AI Revolution (World Economic Forum; May 2)
Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence (Journal of Education &Technology; G. Cooper; March 22)
Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence A look at how generative AI can help professionals in the workplace. (Working Paper; Noy and Zhang: MIT; March 2)
Webinar Recording: Unlocking the Power of AI: How Tools Like ChatGPT Can Make Teaching Easier and More Effective The title says it all. (Harvard Business Publishing; May 2023)
I’m a Student. You Have No Idea How Much We’re Using ChatGPT (The Chronicle; May 12)
Why I’m Excited about ChatGPT: 10 Ways ChatGPT is a boon to first-year writing instruction An interesting list that provides ideas for using generative AI in the classroom. (Inside Higher Ed; May 11)

April 2023

What If Ethics Got in the Way of Generative AI? From the abstract: Ethics are best exercised in how these tools are applied and their data verified. (IT Professional; March-April 2023)
‘This Changes Everything’: AI Is About to Upend Teaching and Learning(The 74; April 27)
” ‘I’ve Never Had a Writer Better than ChatGPT’: How AI Is Upending the Freelance World” A peak into the world of freelance writing, with implications for student writing as well. (Forbes; April 20)
How ChatGPT Bested Me and Worsted My Students A faculty member’s reflection on how AI detection tools don’t really work. A cautionary tale. (Inside Higher Ed; April 20)
Yes, We Are in a (ChatGPT) Crisis *Site Editor’s Recommendation Does the answer come down to the quality of student-instructor relationships? (Inside Higher Ed; April 18)
What ChatGPT Means for Universities Perceptions of Scholars and Students (Journal of Applied Learning and Teaching; April 18, 2023)
Can Colleges Balance ChatGPT’s Influence with Ethics Curriculum? A discussion with a professor of business ethics. (Higher Ed Dive; 13 April)
I Wish GPT-4 Had Never Happened A short reflection on a co-worker losing their job to AI. (Blog post; April 11)
ChatGPT at Work: What Is the Cyber Risk for Employers? Intended for business professionals but applicable to higher ed. (Cyber Security Dive; April 11)
How language-generation AIs could transform science (Nature; April)
Will ChatGPT Change How Professors Assess Learning?: It Won’t Be Easy without Their College’s Support (The Chronicle; April 5)
Can Turnitin Cure Higher Ed’s AI Fever? (Inside Higher Ed; April 4)

March 2023

ChatGPT-4 Technical Report If you want to take a deep dive into the technical end of ChatGPT-4, this is for you. (Open AI; March 27)
A Campus with ChatGPT: The Ethics Behind AI Text Generation in Education An article informed by the conversation a theology/philosophy professor at BU had on Reddit about ChatGPT–worth a look. (BU Experts; blog; March 22)
ChatGPT Can Save Your Hours of Work. Why Are Some Companies Banning It? Short answer: issues of confidentiality. (WSJ; March 23)
A Guide to Generative AI Policy Making An argument for taking action. Now. (Inside Higher Ed; March 2023)
How AI Is Shaping the Future of Higher Education A big picture overview that also looks at the research potential of AI. Inside Higher Ed; March 22)
ChatGPT in Higher Education Considerations for Academic Integrity and Student Learning*Site Editor’s Recommendation (Journal of Applied Learning & Teaching; March 21)
Don’t Believe the Hype: Why ChatGPT Is not the “Holy Grail” of AI Research (Slate; March 19)
AI Makes Plagiarism Harder to Detect, Argue Academics–In a Paper Written by Chatbot (The Guardian; March 19)
How Will Language Modelers Like ChatGPT Affect Occupations and Industries? *Site Editor’s Recommendation No surprise. College instructors are a group that is deemed to be most impacted by the AI revolution. (Felten (Princeton); Raj (UPenn); Seamans (NYU); March 18)
Can AI-Generated Text be Reliably Detected? *Site Editor’s Recommendation According to this scholarly journal article, the answer is: No. (arXiv; March 17)
GPT-4 Is Exciting and Scary (NYT; March 16)
5 Jaw-Dropping Things GPT-4 Can Do that ChatGPT Couldn’t We will soon be introduced to GPT-4.5 and GPT-5, so this article will quickly become dated. (CNN Business; March 16)
Faculty Members Still Aren’t Sure What to Make of ChatGPT A snapshot of faculty perceptions. (The Chronicle; March 16)
Teaching: What You Need to Know About ChatGPT *Site Editor’s Recommendation. Remains a solid piece of advice. (The Chronicle; March 16)
How Are Faculty Reacting to ChatGPT? Interestingly, 67% of faculty in this survey used mostly-positive words to describe their reaction. (Working Paper; Dukewich and Larsen; March 15)
Experimenting with Using ChatGPT as a Simulation Application (Blog; Bryan Alexander, ed tech futurist; March 5)
The Inside Story of How ChatGPT Was Built (MIT Technology Review; March 3)
Who’s Afraid of ChatGPT? Not this editor. (WSJ; March 2)
Collaborating with ChatGPT: Considering Implications of Generative Artificial Intelligence for Journalism and Media Education (Journalism & Mass Communication Educator; March 2023)
Robo-writers: the rise and risks of language-generating AI (Nature; March)
Teacher and Student Guide to Analyzing AI Writing Tools (SCROLL DOWN to item 9. Book chapter)
With ChatGPT, Teachers Can Plan Lessons, Write Emails, and More: What’s the Catch? A K-12 focused article that warns about: 1) factual errors in AI-generated writing and 2) trying to use AI to grade student work. (Education Week; 2023)

February 2023

A Chatbot Is Secretly Doing My Job: On Creating Serviceable Copy using ChatGPT A confession by an author. (The Atlantic; Feb. 27)
ChatGPT Heralds an Intellectual Revolution – WSJ An op-ed. (WSJ; Feb. 25)
Guide to Teaching and Learning Critical Analysis with ChatGPT Written by educators at University of Massachusetts, Amherst. (SmartBrief; Feb. 24)
It’s Not Just Our Students — ChatGPT Is Coming for Faculty Writing Argues for transparency around the use of AI in faculty publications. (The Chronicle of Higher Education; Feb. 22)
AI Bots Can Seem Sentient. Students Need Guardrails Discusses the need to provide AI directives in course syllabi. (Inside Higher Ed; Feb. 22)
From CEOs to Coders, Employees Experiment With New AI Programs – WSJ (WSJ; Feb. 20)
Artificial Hallucinations in ChatGPT: Implications in Scientific Writing (Cureus; Feb. 19)
Is There Anything ChatGPT’s AI ‘Kant’ Do_ – WSJ An interesting look at ChatGPT and moral reasoning. (WSJ; Feb. 14)
ChatGPT Is a Plague Upon Education The author uses an extended analogy, comparing ChatGPT to Covid-19. (Inside Higher Ed; Feb. 9)
Why All Our Classes Suddenly Became AI Classes (Harvard Business Publishing; Feb. 9)
ChatGPT Has Everyone Freaking Out About Cheating. It’s Not the First Time Contextualizing the AI crisis. (The Chronicle; Feb. 8)
An Important Next Step on Our AI Journey CEO of Google and Alphabet discusses Bard—this may wind up being an interesting historical document! (Feb. 6)
New in Coding Class: Critiquing ChatGPT (NYT; Feb. 6)
We Can’t Predict How AI Will Change Learning *Site Editor’s Recommendation Contains a podcast, video, and questions to ask about AI. Useful resource! (Blog; Feb. 4)
Teaching_ Rethinking Research Papers, and Other Responses to ChatGPT (The Chronicle of Higher Education; Feb. 2)
ChatGPT and AI Text Generators: Should Academia Adapt or Resist? (Harvard Business School; Feb. 1)
AI and OER (Blog; Lumen Learning)

January 2023 and December 2022

ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education? (Journal of Applied Learning & Teaching; *Site Editor’s Recommendation ;Includes a good, short history of OpenAI and ChatGPT; Jan. 2023)
When AI Is Writing, Who Is the Author? *Site Editor’s Recommendation. Yes, a very basic question. Inside Higher Ed; Jan. 31)
A college student created an app that can tell whether AI wrote an essay Hmmmm. Maybe not really. (NPR; Jan. 29)
ChatGPT Is Fun but Not an Author (Science; Jan. 27)
Professors Turn to ChatGPT to Teach Students a Lesson (WSJ; Jan. 25)
How Should Schools Respond to ChatGPT?(NYT; Jan. 24)
How to stop worrying and love (or at least live with) ChatGPT (NPR; Jan. 24)
Lesson Plan: Teaching and Learning in the Era of ChatGPT *Site Editor’s Recommendation. Contains interesting questions and resources to get students discussing the ethics of using generative AI writing tools like ChatGPT. (NYT; Jan. 24)
ChatGPT: Evolution or Revolution? Short opinion piece about the future use of ChatGPT in writing scholarly research papers. (Medicine, Health Care, and Philosophy; Jan. 19)
Alarmed by A.I. Chatbots, Universities Start Revamping How They Teach A snapshot from back in January 2023 about how instructors are responding to tools such as Chat-GPT. (NYT; Jan. 16)
The Impact of ChatGPT and AI on Higher Education: Navigating the Rapidly Changing Landscape Interesting article with some useful hyperlinks to other texts. (Medium; Johanna Creswell Báez (blog); Jan. 13)
ChatGPT Advice Academics Can Use Now*Site Editor’s Recommendation Although published back in Jan. 2023, this piece has some solid advice that is still applicable. Take a look. (Inside Higher Ed; Jan. 12)
Don’t Ban ChatGPT, Teach with It (NYT; Jan. 12)
My First Chat with the Bot Saving this piece as it will quickly become a dated but interesting first response to generative AI writing. (Inside Higher Ed; Jan. 12)
Will ChatGPT Change the Way You Teach? Uhm, yes! (The Chronicle of Higher Education; Jan. 5)
If It Was Good Enough for Socrates, It’s Good Enough for Sophomores An argument for oral exams. Requires NYT subscription. (NYT; Dec. 2, 2022)
Cheating With ChatGPT: Can OpenAI’s Chatbot Pass AP Lit? Yup. And Chat-GPT 4 is even better. (WSJ; Dec. 21, 2022)
“How to Update Your Syllabus for ChatGPT *Site Editor’s Recommendation. Solid advice. (Ryan Watkins (blog); Dec. 18, 2022)
The_Brilliance_And_Weirdness_Of ChatGPT This will wind up being one of those “back in the day” articles. Save it. (NYT; Dec. 9, 2022)

Articles written by SUNY New Paltz faculty & SUNY New Paltz Webinars and Talks:

ChatGPT Calls for Scholarship, Not Panic by Andrew Higgins, English, Inside Higher Ed; Aug. 25, 2023

ChatGPT, Artificial Intelligence, and the Future of Writing by Glenn Geher, Psychology, Psychology Today

With ChatGPT, We’re All Editors Now by Rachel Rigolino, English, Inside Higher Ed

ChatGPT Unleashed: Navigating the Future of AI-Generated Content on Campus (SUNY New Paltz; April 2023)*Editor’s Recommendation:

Without Limits: Conversation with Author Carmen Maria Machado (April 2023):

International Webinar Facilitated by Doni Wulandana (Engineering):

Recent Webinars, Forums, TedTalks and Podcasts

PODCASTS SERIES:

Consider subscribing to this podcast series, sponsored by the The New York State Association for Computers and Technologies in Education or NYSCATE. Though this group focuses on k-12 educators, college instructors will find the information useful as well. You can sign up on YouTube, Spotify, or Apple Podcasts (among other services).

AI, Ethics, and Academia (Future Trends Forum; Aug. 18, 2023)

What are the ethics of using artificial intelligence in higher education? This Future Trends Forum continues our collaborative exploration of emerging AI with a splendid guest, Donald Clark, a lifelong educational technology innovator and teacher, entrepreneur, CEO, professor, author of Artificial Intelligence for Learning, and blogger.

Open source AI for higher education (Future Trends Forum; Aug. 3, 2023)

How can higher education grapple with artificial intelligence? The Future Trends Forum explores this question with a focus on an underdiscussed aspect: open source AI. Computer scientist Ruben R. Puentedura, widely known as the creator of the SAMR framework for understanding the intersection of teaching and tech, leads the discussion.

AI, Equity, and Equity (Future Trends Forum; June 2023)

Unlocking the Power of AI: How Tools Like ChatGPT Can Make Teaching Easier and More Effective (Webinar; Harvard Business Publishing; SU23)

Transformative Conversations- ChatGPT and AI Writing: “The What, The Why, and the Oh My!” Gardner Institute (May 3, 2023)

How might Higher Education Respond to AI? Future Trends Forum (March 2023):

The AI Dilemma—Center for Humane Technology (March 2023) *Editor’s Recommendation–a Must-Watch Presentation

From Pearson:

Webinar: Leveraging Social Annotation in the Age of AI *Editor’s Recommendation Discusses the use of the social annotation tool, Hypothes.is (March 2023)

ChatGPT, AI, and the Future of Higher Education: Johns Hopkins Panel Discussion (March 2023):

ChatGPT Panel Discussion: SUNY Albany (Jan. 31, 2023):

More Podcasts:

Suspicions, Cheating, and Bans: AI Hits American’s Schools Includes interviews with students. Very interesting. *Site Editor’s Recommendation (NYTimes; June 28)

On Campus Podcast – AI in Higher Education (Collaborative Institutional Training Initiative (CITI); April 19, 2023) Focuses on potential biases and inaccuracies with AI and implications for faculty.

Bryan Alexander, Ed Tech Futurist, on AI in Higher Education (Inside Higher Ed; April 9, 2023)

ChatGPT and Good Intentions in Higher Ed An argument against using ChatGPT (Teaching in Higher Ed; Feb. 2023)

ChatGPT: Tea for Teaching A discussion about how generative AI might be used in writing-heavy classes. (Feb. 2023)

‘Everybody is cheating’: Why This Teacher Has Adopted an Open ChatGPT Policy (NPR; Jan. 2023)