AI Literacy in the Age of Artificial Intelligence (ChatGPT):Guide For Instructors
- Guide for Instructors
- AI and Pedagogy
- Classroom Policies & AI Detection Tools
- Citing Generative AI
- Effective use of ChatGPT & other LLMs
- Fact Checking Is Needed
- Which AI tool for your task?
- Beyond ChatGPT
- Multimedia Generative AI Tools
- Copyright Issues
- How Bristol Library Learning Commons can help
- Accessibility
- Workshops and Training
- Additional Readings
- New Books about AI at Bristol
Teaching resources
- Instructors as Innovators: A future-focused approach to new AI learning opportunities, with promptsThis paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation.
More Recent articles
Future of Writing in the Disciplines and Professions
White paper from Carnegie Mellon
Four Singularities for Research: The rise of AI is creating both crisis and opportunity - Ethan Mollick
How the rise of AI is affecting writing, publishing, and research.
AI & Accessibility - Center for Teaching Innovation, Cornell University
Using AI to Help Students Teach in Order to Learn - Inside Higher Ed
"By changing ChatGPT’s system prompt, we can create content misunderstandings that students can correct, write Joel Nishimura and Anna Cunningham."
New BYU computer science study shows four ways students are actually using ChatGPT - Brigham Young University News
A survey finds 4 categories of use.
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions - Beth Buyserie, Ph.D., & Travis N. Thurston, Ph.D.
Open access ebook on Pressbooks.
Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts - Ethan Mollick & Lilach Mollick
A paper that explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning.
AI Detection in Education is a Dead End - Leon Furze
How AI detection tools work and why they don't work.
Incorporating Generative AI in Teaching and Learning: Faculty Examples Across Disciplines - Columbia University Center for Teaching and Learning
Faculty across disciplines provide a glimpse into their approaches as they experiment with AI in their classrooms.
Handout: AI and the Future of Teaching and Learning - U.S. Dept of Education, Office of Educational Technology (PDF)
Two-page list of key insights and recommendations from the U.S. Dept. of Education.
Understanding AI Writing Tools and their Uses for Teaching and Learning at UC Berkeley. Berkeley Center for Teaching and Learning
Critical AI, new interdisciplinary journal (Rutgers and Duke)
Follow the new journal at the link provided, or check out the blog feed site including, “research, reviews, and commentary by interdisciplinary scholars in a wide range of AI-adjacent fields, as well as posts by faculty and students affiliated with the Critical AI @ Rutgers initiative.”
Special issue: Critical AI a Field in Formation, American Literature (Duke) “This special issue provides an overview of the emerging interdisciplinary field of Critical AI, which seeks to demystify artificial intelligence; counter its mythologizing as a marvelous and impenetrable black box; and translate, interpret, and critique its operations, from data collection and model architecture to decision making. Artists and researchers are developing new methods, practices, and concepts for this critical project, which is both historicist and attentive to the institutional, technological, and epistemic transformations still underway.”
Additional readings
If you only read one source, this is an excellent summary of everything you need to know.
The State of AI for August 2023 - Dominik Lukes, Assistive Technology Officer, Univ. of Oxford
(alternatively, read it on Google Docs, with a table of contents)
Liberally-educated students need to be more than consumers of AI - Ted Underwood, Professor of Information Sciences and English at the University of Illinois, Urbana-Champaign.
Podcasts about AI:
- Expanding Our Collective Understanding of Generative AI (as of Jan 18, 2024)
- How artificial intelligence is impacting higher education (podcast Teaching in Higher Ed)
- The News Literacy Project
NLP’s podcast Is that a fact? informs listeners about news literacy issues that affect their lives through informative conversations with journalists and other experts across a wide range of disciplines.
- Teaching Writing in an Age of AI, with John Warner
- What Will ChatGPT Mean for Teaching? EdSurge Podcast
- Assignment Makeovers in the AI Age
Derek Bruff shares about assignment makeovers in the AI age on episode 481 of the Teaching in Higher Ed podcast
- Lance Eaton's Google Doc
Lance is the Director of Digital Pedagogy at College Unbound, a part-time instructor at North Shore Community College, and a Ph.D. student at the University of Massachusetts, Boston with a dissertation that is focusing on how scholars engage in academic piracy.
Lance has given talks, written about, and presented at conferences on artificial intelligence generative tools in education, academic piracy, open access, OER, open pedagogy, hybrid flexible learning, and digital service learning.
His musings, reflections, and ramblings can be found on his blog, By Any Other Nerd Blog Link as well as on Twitter: @leaton01
Lance recently taught a course on AI and education with students to develop usage policies for College Unbound.
He has recently given talks and workshops in Generative AI:
· Institutional Policy Development for AI Generative Tools in Teaching and Learning (NERCOMP; March 2023)
· ChatGPT, AI Generative Tools and Your Career: Parallels, Possibilities, and Problems (Rhode Island Career Development Association; February 2022)
· The Future’s Already Here: AI Generative Tools and Teaching (NERCOMP; Feb 2023).
His work on generative AI policy development with students was recently featured in the Chronicle of Higher Ed (March 2023),Teaching: What You Can Learn From Students About ChatGPT https://www.chronicle.com/newsletter/teaching/2023-03-30
Understanding the technology
Elements of AI - University of Helsinki
Free course for learning about AI in general.
ChatGPT is everywhere. Here’s where it came from - Will Douglas Heaven, MIT Technology Review
Useful history.
The Acceleration of Artificial Intelligence - Anna-Sofia Lesiv
An interesting summary of the development of today’s generative AI. It’s useful for understanding the 2017 breakthrough (transformer architecture) that led to so much that’s happening now.
A jargon-free explanation of how AI large language models work - Timothy B. Lee and Sean Trott
Learn about word vectors, transformers, and more.
Generative AI exists because of the transformer - Visual Storytelling Team and Madhumita Murgia, Financial Times
Useful explanation with helpful visuals.
Why does chatGPT make up fake academic papers? - Twitter thread by David Smerdon, Univ. of Queensland
Very good explanation.
Large language models from scratch and Large Language Models: Part 2 (videos) - Graphics in 5 Minutes on YouTube
Transformers, Explained - Google Cloud Tech on YouTube
Learn more about transformer architecture.
What is Reinforcement Learning From Human Feedback (RLHF) - Alex McFarland
Useful explanation.
It’s worth reading these policies and FAQs from OpenAI:
Using LLMs effectively
Prompt engineering for ChatGPT - Coursera course by Dr. Jules White, Vanderbilt University
Three ways to leverage ChatGPT and other generative AI in research - Times Higher Education
Ideas for using ChatGPT for (1) to determine a hypothesis or question; (2) research method: follow an accepted research method or invent a new method or algorithm to conduct an investigation that resolves or answers the question; and (3) research output: formulate, evaluate, and document the solution to enable further research.
Ethical Issues
Copyright issues
Generative AI Meets Copyright - Pamela Samuelson, Professor of Law, UC Berkeley (YouTube)
Recording of a talk she gave, summarizing the outstanding cases. "It will take years for this to be resolved in the courts."
Prof. Matthew Sag Testimony on Copyright and AI (PDF), Testimony before the U.S. Senate Committee on the Judiciary, Subcommittee on Intellectual Property, July 12, 2023.
Letter to the U.S. Copyright Office from the Library Copyright Alliance (The American Library Association and The Association of Research Libraries). Oct, 31, 2023. (download the PDF) Supports the idea that training data for generative AI should be considered fair use.
Bias
AI expert Meredith Broussard: ‘Racism, sexism and ableism are systemic problems’ - The Guardian
Racism, sexism and ableism are systemic problems that are baked into our technological systems because they’re baked into society. It would be great if the fix were more data. But more data won’t fix our technological systems if the underlying problem is society.
Language models might be able to self-correct biases—if you ask them - MIT Technology Review
A study from AI lab Anthropic shows how simple natural-language instructions can steer large language models to produce less toxic content.
Mitigating AI bias with prompt engineering — putting GPT to the test - VentureBeat
Designing ethically-Informed prompts.
A Radical Plan to Make AI Good, Not Evil
OpenAI competitor Anthropic, on using AI to train AI (instead of humans). They call it “constitutional AI.”
Identifying AI-created content
Content Credentials verification tool
Upload an image, find out whether is has metadata from AI image generation tools from OpenAI, Microsoft, and Adobe. Not foolproof because other image generators don't include this metadata.
Is badging a solution? (badging AI vs badging human created content)
- Not by AI - Ideas for a badge for human created content.
- Watermarking ChatGPT, DALL-E and Other Generative AIs Could Help Protect Against Fraud and Misinformation - Berkeley iSchool
Generative AI is forcing people to rethink what it means to be authentic - The Conversation
Postplagiarism
Eaton, S.E. Postplagiarism: transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. Int J Educ Integr 19, 23 (2023). https://doi.org/10.1007/s40979-023-00144-1
- Last Updated: Nov 15, 2024 2:22 PM
- URL: https://libguides.bristolcc.edu/aiforinstructors
- Print Page