Generative AI Resources
Dayamudra Dennehy
Tenured ESL Faculty & Distance Education Coordinator
City College of San Francisco
Hello! On this site I am sharing the Generative AI resources that I have researched in my roles as CCSF ESL Faculty & Distance Education Coordinator.
Here you will find:
Interviews, webinars, workshops, and podcasts about Generative AI.
Articles related to Generative AI.
Web-based resources related to Generative AI tools
Suggestions for Generative AI Policies
A link to a collaborative Google Doc for sharing materials as we find them
Fall 2024: U.S. Department of Education: "Designing for Education with Artificial Intelligence: An Essential Guide for Developers."
UNESCO AI competency framework for Teachers & Students
6 Pillars for the Digital Transformation of Education: A Common Framework
Spring 2024: The 2024 National Educational Technology Plan was released by the U.S. Department of Education in January 2024. This is the policy framework for edtech in the USA. The Office of Educational Technology also released their AI Policy in May 2023.
Virtual Goody Bag with AI Resources
This document accompanied our January 2024 Flex Panel Presentation, "Generative AI in Higher Ed: Navigating between Hype and Doom" and provides practical examples of the wording of syllabus language, the design of norms and policies, resources on academic integrity and lots more.
Fall 2023: AI Detection Tools Research
This document provides research on the limitations of AI detectors, including Turn It In. This sampling is intended to help the college make data-informed decisions about how we do or do not invest in and incorporate AI detectors. Compiled by Dayamudra Dennehy, September 2023.
I am learning and curious. Reach out to me with thoughts & inspirations at: adennehy@ccsf.edu
INTERVIEWS, WEBINARS, WORKSHOPS & PODCASTS
Gen AI Conversation with Professor Fabiola Torres, Glendale Community College. December 2023.
Gen AI Conversation with Professor Alex Rockey, Glendale Community College. November 2023.
Generative AI Conversation with Professor Chesa Caparas, DeAnza College .July 2023
Dayamudra's interview with Dr. Al Solano for the Continuous Learning Institute podcast on Equitable Teaching and Generative AI.
Generative AI Conversation with Professor Benny Ng, Pierce College. July 2023
Dayamudra was among the educators featured on DIESOL Podcast's 100th episode: Top Tips from Teachers Around the World
ARTICLES
COURSE DESIGN
AI Will Augment, Not Replace -Marc Watkins, December 2022
Chat GPT Can't Kill Anything Worth Preserving -John Warner, December 2022
Chat GPT is Dumber Than You Think: Treat is like a Toy, not a Tool -Ian Bogost, December 2022
Seeing Past The Dazzle of Chat GPT -Anna Mills, January 2023
Digital Is People -Lawrire Phipps & Donna Lanclos, January 2023
Prior to (or instead of) using ChatGPT with your Students Autumn Caines' Blog
ChatGPT: A Must-See Before the Semester Begins -Cynthia Alby, January 2023
How to... use ChatGPT to boost your writing: The key to using generative AI successfully is prompt-crafting -Ethan Mollick, January 2023
Designing Assignments in the ChatGPT Era Susan D'Agostino, January 2023
Can ChatGPT be a blessing? -Cynthia Alby, January 2023
Microsoft to demo its new ChatGPT-like AI in Word, PowerPoint, and Outlook soon -Tom Warren, February 2023
How AI Can Support Agency in Our Students, and in Us -Eric Hudson, February 2023
First Pass with ChatGPT and Students: Access and Nuance -Tom Haymes, February 2023
4 Ways to Use AI to Build Laser-Focused Custom Content for Your Students -Brent Warner, February 2023
In an AI World, Let Disability Access Lead the Way -Martin Stanberry, Jack Bernard, &Joseph Storch, March 2023
Chat GPT is Everywhere: Love it or Hate It, Academics Can't Ignore the Already Pervasive Technology Beth McMurtrie, March 2023
What You Can Learn From Students About Chat GPT -Beth McMurtrie, March 2023
50 Chat GPT Prompts fo Teachers -Monica Burns, March 2023
Chat GPT in the Classroom -Brent Warner at CUE23, April 2023
It's Time to Train -Marc Watkins, April 2023
Academic Integrity in the Era of Artificial Intelligence: The Onus is on Faculty -Juan Arzola in ASCCC Rostrum, April 2023
Readying Students for the AI Revolution -Molly Vollman Makris, Nate Mickelson, Ryan Coughlan, April 2023
AI literacy might be ChatGPT’s biggest lesson for schools -Melissa Heikkila, April 2023
The Five Pathologies Of EdTech Discourse About Generative AI -Glenda Morgan, May 2023
I'm a Student. You Have No Idea How Much We're Using ChatGPT -Owen Kichizo Terry, May 2023
ASU students explore ways to embrace AI tools in writing course -Kevin Pirehpour, May 2023
Professors Plan Summer AI Upskilling, With or Without Support -Susan D'Agostino, May 2023
The real risk of generative AI is a crisis of knowledge -Joshua Thorpe, June 2023
Assigning AI: 7 Approaches for Students with Prompts - Ethan & Lilach Mollick, June 2023
AI Detection Tools Falsely Accuse International Students of Cheating -Tina Garcia Mathewson, August 2023
AI Literacy is a Fundamental Pillar in Higher Education -Susan Fourtané, August 2023
10 Ways Artificial Intelligence Is Transforming Instructional Design -Rob Gibson, August 2023
Will AI Kill TESOL? -The DIESOL Podcast, August 2023
Evolving practices for instructors in the age of generative AI- Tamara Tate, Digital Lerarning Lab, September 2023
AI Pedagogy Project - metaLAB at Harvard, since November 2023
Teaching Critical AI Literacy and Using AI for Learning -Anna Mills, January 2024
New study finds AI makes employers value soft skills more -Fast Company, January 2024
How Do I (Re)design Assignments and Assessments in an AI-Impacted World? UMAss Amherst, February 2024
ACADEMIC INTEGRITY
Our Bodies Encoded: Algorithmic Test Proctoring in Higher Education -Shea Swauger, April 2020
Update Your Course Syllabus for Chat GPT -Dr. Ryan Watkins, December 2022
Op-Ed: Don’t ban chatbots in classrooms — use them to change how we teach -Angela Duckworth & Lyle Ungar, January 2023
Our Obsession with Cheating is Ruining Our Relationship with Students Marc Watkins, January 2023
ChatGPT: students could use AI to cheat, but it’s a chance to rethink assessment altogether -Sam Ilingworth, January 2023
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT -Debby R.E. Cotton, Peter A. Cotton, J. Reuben Shipway, January 2023
Don’t Blame Students for Using ChatGPT to Cheat -Jordan S. Carroll, January 2023
Inspiring Your Students to Write, Cite, and Avoid Plagiarism -Matthew J. Samel, January 2023
You’re Not Going to Like How Colleges Respond to ChatGPT: It’s already happening -Chris Gilliard & Pete Rorabaugh, February 2023
6 Tenets of Postplagiarism: Writing in the Age of Artificial Intelligence -Sarah Elaine Eaton, March 2023
A Brief Look at AI Detectors -Brent Warner, March 2023
It Looks Like You're Trying to Assess A Student -Jim Dickinson, March 2023
A Plagiarism Detector Will Try to Catch Students Who Cheat With ChatGPT -Eva Surovell, April 2023
We tested a new ChatGPT-detector for teachers. It flagged an innocent student -Geoffrey A. Fowler, April 2023
Turnitin’s New AI Writing Detection (and what it means for your teaching) -BrightSpace at Vanderbilt University, April 2023
The shifting value of human-centred effort. (Yes this is also about ChatGPT)! -Digism, April 2023
Yes, We Are in a (ChatGPT) Crisis -Inara Scott, April 2023
Professors are using ChatGPT detector tools to accuse students of cheating. But what if the software is wrong? -Kayla Jiminez, April 2023
Cultivating Compassionate Community to Foster Academic Integrity? -Maha Bali & Yasser Tammer Atef, April 2023
Making ChatGPT detectors part of our education system prioritizes surveillance over trust -George Velesianos, April 2023
GPT detectors are biased against non-native English writers -Weixin Liang, Mert Yuskekgonul, Yining Mao, Eric Wu, and James Zou, April 2023
The Use of AI-Detection Tools in the Assessment of Student Work -Sarah Elain Eaton, May 2023
AI-text detection tools are really easy to fool - Rhiannon Williams, July 2023
Testing of Detection Tools for AI-Generated Text -Debora Weber-Wulff et al. .July 2023
Generative AI, plagiarism, and “cheating” -Leon Furze, September 2023
Can linguists distinguish between ChatGPT/AI and human writing?: A study of research ethics and academic publishing - J. Elliott Casal & Mott Kessler, October 2023
AI, Academic Integrity & Authentic Assessment : An Ethical Path Forward for Education -Anthology whitepaper, November 2023
ASSESSMENT
Chat GPT and The Future of Univeristy Assessments -Kate Lindsay, January 2023
The Key to Success in College Is So Simple, It’s Almost Never Mentioned -Jonathon Malesic Jan. 2023
Why I’m not worried about my students using ChatGPT Lawrence Shapiro, February 2023
(Here is the free ProQuest version.)
How worried are universities about ChatGPT? -Shanti Mathias, February 2023
ChatGPT: Education assessment, equity and policy -Rebecca Vukovic & Dominique Russell , March 2023
How do I cite generative AI in MLA style? -MLA Style Center, April 2023
Not your parents' Google: Why universities should embrace, not fear, ChatGPT and AI Michael A. Fitts, April 2023
Teaching in the Age of Artificial Intelligence: A Practice Guide to AI and Ideas for Assessment in the Age of AI -The AI Campus, Santiago Canyon College
Making higher education assessment literate -Phil Newton, April 2023
Creating Low-Stakes Canvas Quizzes with ChatGPT or other AI -Brent Warner, May 2023
Assigning AI: Seven Approaches for Students, with Prompts -Ethan R. & Lilach Mollick, June 2023
Assessment reform for the age of artificial intelligence - Australian Government, November 2023
Assessment of Student Learning Is Broken -Zach Justus & Nic Janos, March 2024
WEB-BASED RESOURCES FOR EDUCATORS
Critical AI: Adapting College Writing for the Age of Large Language Models Such as Chat GPT: Some Next Steps for Educators : Anna Mills & Lauren M.E. Goodlad
Resources for Exploring ChatGPT and Higher Education -Bryan Alexander
The Future's Already Here: AI Generative Tools & Teaching -Lance Eaton
GPT This! a writing assignment in the age of GPT-3 & other Large Language Models Mark C. Marino
Information Literacy: Toolbox -design learning lab (in Germany)
How to Use Chat GPT as an Example Machine -Chris Mah & Sarah Levine
17 articles about ChatGPT written by academics from a variety of fields and representing multiple perspectives -The Conversation
AI Text Generators: Sources to Stimulate Discussion Among Teachers -Compiled by Anna Mills
Using Chat GPT Intelligently -Dr. Mushtaq Bilal on twitter
Grounded Strategies for Instructional Design Dr. Atsusi "2c" Hirumi
What I Mean When I Say Critical AI Literacy -Maha Bali
AI+Education Summit: AI in the Service of Teaching and Learning - Stanford University Human-Centered Artificial Intelligence (HAI)
Learning That Matters: A Field Guide to Course Design for Transformative Education
Global AI- Re-Framing the Conversation - Stanford University's HAI, Center for African Studies (CAS), and the Center for South Asia (CSA).
Chat GPT and Artificial Intelligence in Higher Education: Quick Start Guide -UNESCO
How to Use ChatGPT to Boost Your Research and Teaching -Center for Excellence in Learning & Teaching, Iowa State University
KNX News presents town hall on rise and peril of artificial intelligence
Curricular Resources about AI for Teaching (CRAFT) -Stanford Graduate School of Education & National Educational Equity Lab
Teach AI - A partnership of major education groups including the World Economic Forum, National Association of State Boards of Education, National School Boards Association, Code.org, Educational Testing Service, Khan Academy and ISTE
Generative AI Resources & Recordings - Cornell University's Center for Teaching Innovation
Friday SLO Talks: SLO & AI’s Impact -Pierce College COACHes
AI in Education - Concordia University, St. Paul, Library & Academic Support Services
Opportunities for Teaching with AI The Center for Teaching & Learning, UNC Charlotte
Teaching AI Ethics -Leon Furze
CRAFT: AI Literacy Resources -Stanford Accelerator for Learning
RAISE Initiative - MIT's Responsible AI for Social Empowerment and Education
Essential Guide to AI for Educators -AI for Educators
SUGGESTIONS FOR ACADEMIC AI POLICIES
Artificial Intelligence in the Classroom San Diego Mesa College Library
SFCC Library Faculty Help: ChatGPT's Impact on Higher Education: Resources: FAQ
Artificial intelligence tools and their responsible use in higher education learning and teaching -European University Association
Classroom Policies for AI Genrative Tools - Lance Eaton
College Unbound - AI Generative Tools Policy Development Plan
Responding to Generative Artificial Intelligence (AI) Tools: George Washing Univ. Library Guide
AI Guidance -Yale University Poorvu Center for Teaching & Learning
Practical Resonses to Chat GPT -Montclair State University Office for Faculty Excellence
AI Generative Tools Policy Development Plan -College Unbound
AI & Learning Resources -Lance Eaton
Keep your AI Claims in Check -Federal Trade Commission
Banning ChatGPT will do more harm than good -MIT Technology Review
Agentic and Equitable Educational Development For a Potential Postplagiarism Era -ETHE Journal Blog
ENAI Recommendations on the ethical use of Artificial Intelligence in Education -International Journal for Academic Integrity
Universities that ban ChatGPT may be hurting their own admissions, according to a study -ZDnet
A Letter to NYCPS: The Wrong AI Approach Will Squander Potential -Sabba Quidwai & Vriti Safraf
Artificial Intelligence and the Future of Teaching and Learning -Department of Education Office of Educational Technology
Japanese schools to be allowed limited use of generative AI -Kyodo News
Crafting Your GenAI & AI Policy Guide - Office of Academic Integrity, UC San Diego
Policies & Guidelines for Generative AI - Leon Furze's Collection
Should schools ban or integrate generative AI in the classroom? -The Brookings Institute
Trying to create a university AI policy? There’s a framework for that -AI policy framework from Anthology
The Best AI Syllabus Policies I've Seen So Far - Annotated Syllabus Policy List
NATIONAL & INTERNATIONAL AI POLICIES & GUIDANCE
EQUITY IN AI: BIAS & ACCOUNTABILITY
Joy Buolamwini: The Algorithmic Justice League
The Algorithmic Justice League’s mission is to raise awareness about the impacts of AI, equip advocates with empirical research, build the voice & choice of the most impacted communities, & galvanize researchers, policy makers, & industry practitioners to mitigate AI harms & biases. It's building a movement to shift the ecosystem towards equitable & accountable AI.
TED Talk by The Algorithmic Justice League's Founder Dr. Joy Buolamwini: "How I'm fighting bias in algorithms".
Fresh Air interview and KQED Interview Dr. Buolamwini's poem "AI, Ain't I A Woman?"
Sinead Bovell: AI & Racism
Sinead Bovell discusses a future with Artificial Intelligence for February's Black History Month. Bovell says, "To me, Black futurism means co-creating spaces in the future that work for everyone, but especially Black folk, and that we play a leading role in designing those futures." Some key takeaways from the article:
The people behind technologies matter.
Technological evolution is, of course, inevitable, but how the future shows up isn’t. It’s not about knowing how to code, it’s knowing when fairness is or isn’t being displayed.
It’s knowing when somebody is or isn’t being included, or excluded from a technology.That is all that’s required to participate in these conversations.
We can edit data sets and build coding rooms that are representative of society.
There are no shortage of people really trying to build this technology on the right side of history. The media just needs to do a better job of elevating those voices.
Bovell states, "We all have the right to co-create [the future], regardless of what our backgrounds are. I want people to feel like they have the right to show up into any room where their future is being decided upon. "Let's interrogate this technology. Let's not have this be a closed conversation with the seven people that happen to be coding it. Let's support more voices into it. Even if the conversations are scary, we're having them because there's a lot of technologies where that wasn't the case."
AI & Equity Sessions at SxSwEDU 2024
Equity Concerns in AI & Education: AI is everywhere and making sure that everyone has a fair shot at learning is now a top concern. This session takes a deep dive into the tricky world of Equity Issues in AI and Education. This session explores the many challenges that pop up when AI and education mix, talks about some ways to solve these challenges, and shares ideas that make the use of AI in education more fair, inclusive, and accessible.
Fact or Fiction? Media Literacy in the Digital Age: With another presidential election looming around the corner and political chatter as fractured as ever, how can everyday media consumers (with probably way too much Twitter screentime) discern fact from fiction? In a media landscape where facts are fake and human rights seem to be up for debate, learn media literacy techniques and countermeasures from industry experts and how to employ them in your own community.
AI: Avoiding the Next Digital Divide: Could the emerging use of AI in schools be the next digital divide? This panel explores the intersection of artificial intelligence (AI) and education equity and its impact on students of color and other students from low-income backgrounds. In this session, attendees learn steps to ensure academic tools, pedagogies, and content reflects the broad cultural and neurodiversity of student populations and ways to prevent the emergence of a new digital divide.
Building the Next Gen of Black AI Leaders: Alliance4ai was founded on the premise that skills training alone will not diversify & expand our AI developer pool for added value & decreased harm to Black communities worldwide. This session discusses the additional elements required to engage diverse learners to become emerging AI leaders, build tech & leadership skills, & promote a mission based AI for good worldview. We’ll also talk about the challenges African communities face in AI development & propose research & experience based solutions that can be scaled easily with community based leadership strategies.
Meaningful & Safe AI: Policy & Research Perspectives: An interactive conversation about generative AI integrates two distinctive and powerful vantage points—policy and research—to help participants make sense of the buzzing, blooming confusion of emerging trends in AI use. A major policy leader reflects on listening sessions and policy activity arising from “AI and the Future of Teaching and Learning” and the “Blueprint for an AI Bill of Rights.” An expert researcher shares insights from major research initiatives addressing efficacy, equity and ethics of generative AI. What resources can guide educator's exploration of generative AI?
Lance Eaton’s AI Equity Acknowledgement: This presentation was prepared using generative AI tools. I acknowledge that many generative AI do not respect the individual rights of authors and artists, and ignore concerns over copyright and intellectual property in the training of the system.
Additionally, I acknowledge many AI systems are trained in part through the exploitation of precarious workers in the Global South.
Also, I recognize that the structures to support the expanse of AI rests on continued large-scale extraction of resources from environments in methods that have long effects on the local populations and in the end, many of those resources (i.e. hardware) are often causing further harm in global climate change and environmental degradation; particularly and directly for the Global South and communities that are historically and presently marginalized.
In this work I specifically used Generative AI as a collaborative exercise and to test out some ideas about its usage, better understand the tool, and may also demonstrate some of the ways it generates answers. (Inspired by Lawrie Phipps and Donna Lanclos's "An Offering")
CCSF SHARED GOOGLE DOC
What would happen if making the world a better place and developing student joy
were the ultimate goals for education?
-Gholdy Muhammad