The purpose of this guide: Provides links to readings, video, audio, and infographics to encourage directed learning about generative AI in the context of higher ed. The guide was published on July 26, 2023 and will accumulate based on feedback from faculty and other readers at Lehigh. If you'd like to see something added to this page you can edit the page yourself or make a comment.
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Sample syllabus statements
LU Syllabus Template, Lehigh's Center for Innovation in Teaching and Learning, updated with a section on Generative AI for Fall 2023.
Boris Steipe et al., The Sentient Syllabus Project: Charting a Course for the Academy in an Era of Synthesized Thought, founded December 2022. The project's website, print materials, and Substack includes guides for understanding AI issues, sample text for a syllabus, and course activities involving AI.
"Classroom Policies for AI Generative Tools," a crowdsourced Google Doc organized by Lance Eaton, Director of Digital Pedagogy at College Unbound, Providence, RI.
Tracy Mendolia-Moore, Manager of 3D Educational Technology Innovations at the Center for Excellence in Teaching & Learning, Western University of Health Sciences, "University Policies on Generative AI." A collection of university policies and websites.
Proposed Harvard AI Code of Conduct, from Harvard and FU Berlin's metaLAB. A collaborative effort from Harvard College Students and Teaching Fellows in Creativity (Gen Ed 1067) (Spring 2023), David Atherton, Sarah Newman, and Kathleen Esfahany.
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Ideas for class activities
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Tim Laquintano, Carly Schnitzler, and Annette Vee, “Introduction to teaching with text generation technologies,” in Annette Vee, Tim Laquinto, and Carly Schnitzler, eds., TextGenEd: Teaching with Text Generation Technologies (The WAC Clearinghouse) (2023). Scroll all the way to bottom of the landing page for groupings of student activities for "AI Literacy," "Creative Explorations," "Ethical Considerations," "Professional Writing," "Rhetorical Engagements," and "Continuing Experiments."
Civics of Technology Curriculum. Including "Critical Questions about Technology," "Technology Education Intro Activities," "Unfolding a Smartphone," "Mapping the Media Education Terrain," "Technoethical Integration," and "Critical Digital Citizenship."
"101 Creative Ideas to Use AI in Education," edited by Chrissi Nerantzi, Sandra Abegglen, Marianna Karatsiori, and Antonio Martinez-Arboleda. An open access book.
Learn with AI toolkit, a project of the University of Maine's Center for Innovation in Teaching and Learning and UMaine's New Media major.
Boris Steipe et al., The Sentient Syllabus Project: Charting a Course for the Academy in an Era of Synthesized Thought, founded December 2022. The project's website includes course activities involving AI.
Have students complete a learning course in Datacamp. Examples include "Introduction to ChatGPT," "Understanding Artificial Intelligence," "Large Language Models (LLMs) Concepts," and "Generative AI Concepts." You have access to courses in Datacamp as a Lehigh employee. From the Datacamp landing page, you DO NOT need to "Create Your Free Account," even if this is the first time that you've accessed the platform. Instead, go straight to "Sign in" at the top right and type in your full Lehigh email email address. The system will bounce you to Lehigh's SSO and you'll be ready to learn!
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Lorena O'Neil, "These Women Tried to Warn Us About AI," Rolling Stone, published August 12, 2023. Featuring Timnit Gebru, Rumman Chowdhury, Safiya Noble, Seeta Peña Gangadharan, and Joy Buolamwini.
Brief histories of AI
Jessica Riskin, "Frolicsome Engines: The Long Prehistory of Artificial Intelligence," The Public Domain Review, published May 4, 2016.
Labor
Billy Perrigo, "Exclusive: OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic," Time, January 18, 2023.
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October: "AI Inside and Out: What to think and do with AI tools in teaching and education system," College of Education and the Lehigh University School Study Council, featuring Drs. William Gaudelli and Juan Zheng.
October: Artificial Intelligence Community of Practice, sponsored by the Center for Innovation in Teaching and Learning (CITL) at Lehigh. Launched 10/30/2023.
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March: Recording of "The Implications of Generative AI for Teaching and Learning at Lehigh," a conversation led by Dr. Greg Skutches, Director of Writing Across the Curriculum. Event on March 24, 2023. Panelists were Greg Reihman, Jeremy Littau, and three TRAC Fellows.
January: "Call for Generative AI Ideas" and "A Letter from the Provost: What to do about ChatGPT?," message from Dr. Nathan Urban on January 24, 2023.
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Eric P.S. Baumer's Google Scholar page and personal website. Dr. Baumer's Lehigh profile page.
Public GitHub repository for materials from "Algorithms and Social Justice," a class taught by Profs. Larry Snyder (ISE) and Suzanne Edwards (English, WGSS) at Lehigh University. This repo is from the fall semester, 2022. Dr. Snyder's Lehigh profile page. Dr. Edwards' Lehigh profile page.
Greg Surovcik, Visiting Lecturer in the Department of Decision and Technology Analytics, designed the underlying AI-based algorithms for Spark Moments and brought the product to market.
Brian Chen's publication page. Dr. Chen's Lehigh profile page.
Jeremy Littau's Substack, including "Who's Afraid of ChatGPT?," published December 14, 2022. Dr. Littau's Lehigh profile page.
Yu Yang, Working on a project involving AI-powered traffic signs.
Florencia San Martín, Interviewed by CNN Chile on the intersection between AI and art, November 3, 2023.
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AI in higher ed
Catherine A. Gao, et al., "Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers," npj Digital Medicine 6 no. 75: (2023).
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Distributed AI Research Institute. "We are an interdisciplinary and globally distributed AI research institute rooted in the belief that AI is not inevitable, its harms are preventable, and when its production and deployment include diverse perspectives and deliberate processes it can be beneficial. Our research reflects our lived experiences and centers our communities."
Data & Society. "Data & Society studies the social implications of data-centric technologies, automation, and AI. Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.
AIxDESIGN. "Reaching beyond big tech’s algorithmic imaginaries to ones that align with ideologies of agency & care, we do so through community-based research, developing design tools, hosting programs & workshops, running experiments, deconstructing critical discourse, and publishing our learning in the open."
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Books and chapters on AI
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Duke University Learning Innovation, "AI and Teaching at Duke."
Tracie M. Addy and TingTing Kang, "Who Benefits and Who is Excluded? Equity, Access & Generative Artificial Intelligence," 6th Annual LVAIC Information Literacy Symposium, June 15, 2023.
Tim Laquintano and Lisa Wilde, "Brains over Bots: Crafting AI-Savvy Assignments for Academic Integrity and Innovative Learning," 6th Annual LVAIC Information Literacy Symposium, June 15, 2023.
Micheael Coley, "Guidance on AI Detection and Why We're Disabling Turnitin's AI Detector," Vanderbilt University, August 16, 2023.