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.
*Please comment if you'd like to have your Lehigh syllabus statement on AI posted to this guide.
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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
Case Study PDFs from The Princeton Dialogues on AI and Ethics. "A set of fictional case studies that are designed to prompt reflection and discussion about issues at the intersection of AI and Ethics."
"Exploring AI Pedagogy: A Community Collection of Teaching Reflections." An initiative of the MLA-CCCC Joint Task Force on AI and Writing.
A People’s Guide to AI, Mimi Onuoha and Diana Nucera (aka Mother Cyborg). A zine published by Allied Media Projects in October 2018. With worksheets and questions to get a classroom thinking and talking with one another.
AI Starter from the AI Pedagogy Project, Harvard and FU Berlin's metaLAB. Including a list of class assignment involving AI.
Resources from We and AI, featuring "Inclusive ways of helping people access relevant information about AI." Including a Race and AI Toolkit, an AI Quiz, and podcast episodes.
Ethan R. Mollick and Lilach Mollick, "Assigning AI: Seven Approaches for Students, with Prompts," SSRN Electronic Journal (June 2023): 1-48.
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!
Use an infographic to prompt classroom conversation. Examples from the European Network for Academic Integrity, an EDUCAUSE Review on "Artificial Intelligence: Where Are We Now?", and the 2023 AI Index Report from Human-Centered Artificial Intelligence at Stanford University can be found in this Lehigh Confluence guide.
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Multimedia
Dylan Doyle-Burke and Jessie J. Smith, Radical AI podcast, aired from March 2020–August 2023.
Coded Bias, a Shalini Kantayya film (2020), streaming on Netflix. "This documentary investigates the bias in algorithms after M.I.T. Media Lab researcher Joy Buolamwini uncovered flaws in facial recognition technology."
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The language of AI and AI primers. Start here if you are beginning your learning!
AI Starter from the AI Pedagogy Project, Harvard and FU Berlin's metaLAB. "What is AI?" "The Basics of Generative AI: Large Language Models." "Incorporating AI Into Your Teaching." "Glossary"
Ethan Mollick and Lilach Mollick, "Practical AI for Instructors and Students, Parts 1-5," University of Pennsylvania, Wharton Interactive, published July and August, 2023.
Visual Storytelling Team and Madhumita Murgia, "Generative AI exists because of the transformer," Financial Times, published September 12, 2023.
Timothy B. Lee and Sean Trott, "Large language models, explained with a minimum of math and jargon," Understanding AI Substack, published July 27, 2023.
Glossary of AI-related terms developed by Future Tools.
Pati Ruiz and Judi Fusco, “Glossary of Artificial Intelligence Terms for Educators,” from the Center for Integrative Research in Computing and Learning Sciences, 2023.
Marko Sillanpaa, et al., "Glossary of Terms for Generative AI and Large Language Models," Gartner, published July 5, 2023.
Generative AI Overview from Lehigh's Center for Innovation in Teaching and Learning, published August 23, 2023.
Brian Basgen, "A Generative AI Primer," EDUCAUSE, published August 15, 2023.
Will Thompson, “What We Know About LLMs (Primer),” published July 23, 2023.
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A landscape of AI-powered tools and AI news aggregators
A filtered search developed by Future Tools for third-party, AI-powered apps, both free and premium.
There's An AI for That. A searchable AI-powered tools aggregator.
A news reel created by Future Tools that provides links to recent AI news.
"AI, algorithmic, and automation incidents and controversies," AIAAIC (AI, Algorithmic, and Automation Incidents and Controversies). Also the entire repository.
The New York Times spotlight series on AI.
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Early data
Eugenie Park and Risa Gelles-Watnick, "Most Americans haven't used ChatGPT; few think it will have a major impact on their job," Pew Research Center, August 28, 2023.
Mubin Ul Haque, et al., "'I think this is the most disruptive technology': Exploring Sentiments of ChatGPT Early Adopters using Twitter Data," preprint, published December 12, 2022.
Nestor Maslej, et al., “The AI Index 2023 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2023.
See the "Top Ten Takeaways" and "Report Highlights" within the first 20 pages. Chapter 5 focuses on education.
"100 Year Study on AI," Stanford University, September 2021.
"The One Hundred Year Study of Artificial Intelligence (AI100) is a longitudinal study to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. It is administered out of Stanford University and managed by a Standing Committee of AI experts from institutions around the world, chaired by Vincent Conitzer at Carnegie Mellon University."
Reza Hadi Mogavi, et al., "Exploring user perspectives on ChatGPT: Applications, perceptions, and implications for AI-integrated education," published June 2023. Preprint.
"Qualitative content analysis of four major social media platforms (Twitter, Reddit, YouTube, and LinkedIn) to explore the user experience (UX) and perspectives of early adopters toward ChatGPT-an AI Chatbot technology-in various education sectors."
Edward W. Felten, Manav Raj, and Robert Seamans, "How will Language Modelers like ChatGPT Affect Occupations and Industries?," SSRN Electronic Journal (March 2023): 1-36.
Hans Malmström, Christian Stöhr, and Wanyu Ou, "Chatbots and other AI for learning: A survey of use and views among university students in Sweden," Chalmers Studies in Communication and Learning in Higher Education 2023, no. 1: 1-19.
Avi Goldfarb, Bledi Taska, and Florenta Teodoridis, "Artificial Intelligence in Health Care? Evidence from Online Job Postings," AEA (American Economic Association) Papers and Proceedings 110 (May 2020): 400-404.
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Student voices
Cecilia Ka Yuk Chan and Wenjie Hu, "Students' voices on generative AI: perceptions, benefits, and challenges in higher education," International Journal of Educational Technology in Higher Education 20, no. 43 (2023): 1-18.
Student-generated webinars on AI, University of Kent, United Kingdom. Published April 27, 2023 and last updated July 31, 2023.
"The Implications of Generative AI for Teaching and Learning at Lehigh," recording of a panel discussion featuring Lehigh students, faculty, and staff offered by The Center for Innovation in Teaching and Learning on March 24, 2023.
Student poster presentations on AI from Dr. Greg Reihman's Philosophy and Technology course at Lehigh, Spring 2023.
Owen Kichizo Terry, "I'm a Student. You Have No Idea How Much We're Using ChatGPT," The Chronicle of Higher Education, May 12, 2023.
Marie Hornberger, Arne Bewersdorff, and Claudia Nerdel, "What do university students know about Artificial Intelligence? Development and validation of an AI literacy test," Computers and Education: Artificial Intelligence 5 (2023): 1-12.
Marieke Guy, coverage of a student "AI Assessment Hackathon" in June 2023, organized by a team of academic staff from the Faculty of Medical Sciences and the Institute of Education (IOE), University College London, London.
Ali Darvishi, et. al, "Impact of AI assistance on student agency," Computers & Education 210 (March 2024): 1-18.
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Academic integrity and citational practice
Zoë Teel, Ting Wang, and Brady Lund, "ChatGPT conundrums: Probing plagiarism and parroting problems in higher education practices," Association of College & Research Libraries News 84, no. 6 (June 2023).
Weixin Liang, et al., "GPT detectors are biased against non-native English writers," Patterns 4, no. 7 (JULY 2023): 1-4.
Andrew Myers, "AI-Detectors Biased Against Non-Native English Writers," Stanford University Human-Centered Artificial Intelligence blog, published May 15, 2023.
Rhiannon Williams, "AI-text detection tools are really easy to fool," MIT Technology Review, published July 7, 2023.
Turnitin has an AI-generated text detector among its features. It can be added as a tool to your Lehigh Course Site (see: "/wiki/spaces/LKB/pages/26695890").
Lehigh LibGuide on How to Cite ChatGPT & Similar AI Tools.
Lehigh LibGuide on Acceptable Use of AI Tools at Lehigh.
Timothy McAdoo, "How to cite ChatGPT," APA Style Blog, April 7, 2023.
"How do I cite generative AI in MLA style?," MLA Style Center, March 17, 2023.
"Citation, Documentation of Sources: 'How do you recommend citing content developed or generated by artificial intelligence, such as ChatGPT?,'" The Chicago Manual of Style Online, March 7, 2023.
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Critical AI, ethics, and contributions from the humanities
A list of topics that intersect with AI/ML/LMs is provided by NYU’s Institute for Public Knowledge in the form of their event series "Co-Opting AI: Public Conversations About Design, Inequality, and Technology"
Introductions to Critical AI
Rita Raley and Jennifer Rhee, "Critical AI: A Field in Formation," American Literature 95, no. 2 (June 2023): 185-204.
Lauren M. E. Goodlad, "Editor's Introduction: Humanities in the Loop," Critical AI, no. 1 (October 2023).
Katherine Bode and Lauren M. E. Goodlad, "Data Worlds: An Introduction," Critical AI, no. 1 (October 2023).
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.
Laura Preston, "HUMAN_FALLBACK," n+1 44 (Winter 2023). The story of a human operator who intervenes when Brenda, an AI assistant who answers questions about apartment listings, reaches its limit.
Josh Dzieza, "AI Is a Lot of Work," The Verge and New York Magazine, June 20, 2023. An investigation into the labor conditions of the people who sort and label (annotate) the data that AI is trained on.
Kate Crawford and Vladan Joler, “Anatomy of an AI System: The Amazon Echo As An Anatomical Map of Human Labor, Data and Planetary Resources,” AI Now Institute and Share Lab (September 7, 2018).
Kate Crawford, The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (New Haven: Yale University Press, 2021). Chapter 2, "Labor."
Lilly C. Irani and M. Six Silberman, "Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk," Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Paris (April 2013): 611-20.
Policing, surveillance, privacy, safety, and security
Kashmir Hill, "Wrongfully Accused by an Algorithm," The New York Times, June 24, 2020. The case of Robert Williams and the Detroit Police Department.
"US prison inmate Verus call monitoring," AIAAIC (AI, Algorithmic, and Automation Incidents and Controversies), February 2022.
Federal Trade Commission, "Rite Aid Banned from Using AI Facial Recognition After FTC Says Retailer Deployed Technology without Reasonable Safeguards," published December 19, 2023.
Samantha Cole, "Largest Dataset Powering AI Images Removed After Discovery of Child Sexual Abuse Material," 404 Media, published December 20, 2023.
Politics and misinformation
"President Zelenskyy deepfake surrender," AIAAIC (AI, Algorithmic, and Automation Incidents and Controversies), March 2022.
Kate Crawford and Trevor Paglen, "Excavating AI: The Politics of Images in Machine Learning Training Sets," The AI Now Institution (September 19, 2019).
Gender, racial, and ethnic bias
Sayah Kapoor and Arvind Narayanan, “Quantifying ChatGPT’s gender bias,” AI Snake Oil, April 26, 2023.
Hadas Kotek (@HadasKotek), "#ChatGPT doubles down on gender stereotypes even when they don't make sense in context," X, April 18, 2023, 6:29 PM.
Margaret Mitchell (@mmitchell_ai), "I replicated this (my screenshot below). Really great example of gender bias, for those of you who need a canonical example to make the point," X, April 23, 2023, 8:11 AM.
Emily Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell, "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜," FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (March 2021): 610–623.
Joy Buolamwini and Timnit Gebru, "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification," Proceedings of Machine Learning Research 81, no. 1 (2018): 1-15.
Carmen Drahl, "AI was asked to create images of Black African docs treating white kids. How'd it go?," NPR, published October 6, 2023.
Intellectual property and copyright
Jay Peters and Wes Davis, "The New York Times blocks OpenAI's web crawler," The Verge, August 21, 2023.
Emilia David, "US Copyright Office wants to hear what people think about AI and copyright," The Verge, August 29, 2023.
Harry H. Jiang, et al., "AI Art and its Impact on Artists," In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES '23). Association for Computing Machinery, New York, NY, USA (August 2023): 363–374.
Environmental impacts
Kate Crawford, The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (New Haven: Yale University Press, 2021). Chapter 1, "Earth."
Emma Strubell, Ananya Ganesh, and Andrew McCallum, "Energy and Policy Considerations for Deep Learning in NLP," 57th Annual Meeting of the Association for Computational Linguistics (ACL) (July 2019): 1-6.
Sasha Luccioni, Yacine Alexandra, Emma Strubell, "Power Hungry Processing: Watts Driving the Cost of AI Deployment?," preprint, published November 2023.
Legal implications and policy
"FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence," White House press release, October 30, 2023.
"Making AI work for the American people," AI.gov.
"National Artificial Intelligence Research and Development Strategic Plan 2023 Update," A report by the Select Committee on Artificial Intelligence of the National Science and Technology Council," published May 2023.
Fengchun Miao and Wayne Holmes, "Guidance for generative AI in education and research," United Nations Educational, Scientific, and Cultural Organization (UNESCO), published September 2023.
Miguel Cardona, et al., “Artificial Intelligence and the Future of Teaching and Learning,” U.S. Department of Education, 2023.
Tomas Foltynek, Sonja Bjelobaba, and Irene Glendinning, et al., "ENAI Recommendations on the ethical use of Artificial Intelligence in Education," International Journal for Educational Integrity 19, no. 12 (2023): 1-4.
Jenay Robert and Nicole Muscanell, "2023 EDUCAUSE Horizon Action Plan: Generative AI," EDUCAUSE, published September 2023.
Yoon Kim, Jacob Andreas, Dylan Hadfield-Menell, "Large Language Models," AI Policy Brief from the MIT Schwarzman College of Computing and the MIT Washington Office, published November 28, 2023.
Daron Acemoglu, David Autor, Simon Johnson, "Can We Have Pro-Worker AI? Choosing a Path of Machines in Service of Minds," AI Policy Brief from the MIT Schwarzman College of Computing and the MIT Washington Office, published September 19, 2023.
Chloe Wittenberg, Ziv Epstein, Adam J. Berinsky, David G. Rand, "Labeling AI-Generated Content: Promises, Perils, and Future Directions," AI Policy Brief from the MIT Schwarzman College of Computing and the MIT Washington Office, published November 28, 2023.
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Skill-building within AI
"Learn How to Work With AI" in Datacamp.
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! (See the instructional video, below.)
"Empower educators to explore potential of artificial intelligence," a module offered by Microsoft. "Navigate AI in education by looking at essential AI concepts, techniques, and tools, highlighting practical applications. AI can support personalized learning, automate daily tasks, and provide insights for data-driven decision making."
Video courses related to generative AI on LinkedIn Learning (here are Lehigh-specific instructions for how to activate your LinkedIn Learning account). Introductory courses include: "What Is Generative AI?" and "Introduction to Prompt Engineering for Generative AI."
AI-related content from Gartner. A research and advisory firm dedicated to information technology that also tracks industry news, research reports, and business and market analysis.
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Prompt engineering
Democratizing Artificial Intelligence Research, Education, and Technologies (DAIR.AI), "Prompt Engineering Guide," 2022. Also available as the "Prompt-Engineering-Guide" repository on GitHub.
Ethan Mollick and Lilach Mollick, "Practical AI for Instructors and Students, Part 3: Prompting AI," University of Pennsylvania, Wharton Interactive, published July and August, 2023.
Ronnie Sheer, LinkedIn Learning, "Introduction to Prompt Engineering for Generative AI." Released March 15, 2023.
Resources related to prompt engineering in Datacamp, including "Introduction to ChatGPT" (Course) and "ChatGPT Prompt Engineering for Developers" (Course).
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AI and writing
MLA-CCCC Joint Task Force on Writing and AI, "MLA-CCCC Joint Task Force on Writing and AI Working Paper," published July 2023.
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Non-exhaustive catalog of Lehigh-specific programming
Winter/Spring 2024
Spring Kickoff of Lehigh's AI Community of Practice. January 11th, 2024, part of the CITL Winter Workshop.
Summer/Fall 2023
November: "Critical (and impractical) AI: For decision makers amid a hype cycle." Interactive presentation by Dr. Justin Greenlee for The Management Club, College of Business, Lehigh University.
October: "Finding the right place for generative AI in the classroom," Cutting Edge podcast from EdScoop, published October 3, 2023. Featuring Nathan Urban, Provost of Lehigh University.
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.
September: Health & Technology Workshop: AI & VR for 21st Century Healthcare & Education. All day workshop hosted by Lehigh's Institute for Data, Intelligent Systems, and Computation. September 15, 2023.
September: AI and Equity: A Roundtable. Panel discussion with Drs. Suzanne Edwards, Eric Baumer, and Aparna Bharati, facilitated by Dr. Rita Jones. A 5x10 event on September 11, 2023.
August: Recording of Lehigh's 2023 CITL Summer Workshop on Generative AI, facilitated by Dr. Greg Reihman. Event on August 22, 2023.
August: Slide deck from a hands-on demonstration of GenAI tools offered for Lehigh faculty by staff in the Center for Innovation in Teaching and Learning. Event on August 22, 2023.
August: Generative AI Overview from Lehigh's Center for Innovation in Teaching and Learning. Published 8/23/23.
June: "Generative Artificial Intelligence (AI)," this Lehigh Confluence guide is a starting point for learning more about generative AI, ChatGPT, and answering some FAQs. Published 6/16/23.
June: "Resources for directed learning about AI." Lehigh Confluence guide. Published 6/26/23.
Winter/Spring 2023
April: "The Impact of AI on Universities and Students," a podcast episode recorded by Lehigh’s College of Business ilLUminate podcast on April 26, 2023. Featuring Dr. Greg Reihman, Lehigh's Vice Provost for Library and Technology Services, and Dr. Catherine Ridings, an associate professor in the College of Business' Department of Decision and Technology Analytics. Read the full transcript of their conversation with Jack Croft.
April. Recording of a morning conversation on Generative AI from the 2023 CITL Symposium on Teaching and Learning on April 11, 2023, featuring Social Sciences Librarian Elizabeth Miller, Dr. Larry Snyder, Dr. Suzanne Edwards, Dr. Greg Skutches, and Dr. Greg Reihman.
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.
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.
November 2022: Release of ChatGPT
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Authored by Lehigh faculty
Kofi Arhin, et al., "Reducing subgroup differences in personnel selection through the application of machine learning," Personnel Psychology (June 2023): 1-35. Dr. Arhin's Lehigh profile page.
Zilu Jiang, Zexin Xu, Zilong Pan (Professor in the Teaching, Learning, and Technology Program, College of Education, Lehigh U.), Jingwen He, and Kui Xie, "Exploring the Role of Artificial Intelligence in Facilitating Assessment of Writing Performance in Second Language Learning," Languages 8, no. 4 (2023): 1-16.
Beibei Dong (Professor of Marketing, Lehigh U.), Mengzhou Zhuang, Eric (Er) Fang (Professor of Marketing, Lehigh U.), and Minxue Huang, "Tales of Two Channels: Digital Advertising Performance Between AI Recommendation and User Subscription Channels," Journal of Marketing: 1-22.
Zhiling Yan (Graduate student in computer science, Lehigh U.), Kai Zhang (Graduate student in computer science, Lehigh U.), Rong Zhou (Graduate student in computer science, Lehigh U.), Lifang He (Faculty in Computer Science and Engineering, Lehigh U.), Xiang Li, and Lichao Sun (Faculty in Computer Science and Engineering, Lehigh U.), "Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V" (2023).
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).
Heather Desaire, et al., "Accurately detecting AI text when ChatGPT is told to write like a chemist," Cell Reports Physical Science 4, no. 11 (November 2023): 1-12.
Margaret Bearman, Juliana Ryan, and Rola Ajjawi, "Discourses of artificial intelligence in higher education: a critical literature review," Higher Education 86 (2023), 369-85. See Table 2 "Overview of the discourse analysis."
Olaf Zawacki-Richter, et al., "Systematic review of research on artificial intelligence applications in higher education – where are the educators?," International Journal of Educational Technology in Higher Education 16, no. 39 (2019): 1-27.
Elana Zeide, "Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions," Educause, August 26, 2019.
Michael Neumann, Maria Rauschenberger, and Eva-Maria Schön, “'We Need To Talk About ChatGPT': The Future of AI and Higher Education," 2023 IEEE/ACM 5th International Workshop on Software Engineering Education for the Next Generation (SEENG) (May 2023): 29-32.
Amon Barros, Ajnesh Prasad, and Martyna Åšliwa, "Generative artificial intelligence and academia: Implication for research, teaching and service," Management Learning (October 2023): 1-8.
Lance Eaton and Stan Waddell, "10 Ways Technology Leaders Can Step Up and In to the Generative AI Discussion in Higher Ed," EDUCAUSE Review, published October 3, 2023.
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Advocacy groups: Related to truth, trust, democracy, civil rights, and civil liberties
Algorithmic Justice League, founded by Joy Buolamwini. "The Algorithmic Justice League is an organization that combines art and research to illuminate the social implications and harms of artificial intelligence."
The AI Now Institute. Produces diagnosis and actionable policy research on artificial intelligence.
W. R. Frey, et al., "Artificial Intelligence and Inclusion: Formerly Gang-Involved Youth as Domain Experts for Analyzing Unstructured Twitter Data," Social Science Computer Review (2000), vol. 38, no. 1: 42–56.
We and AI, devoted to finding "Inclusive ways of helping people access relevant information about AI."
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
Joseph E. Aoun, Robot-Proof: Higher Education in the Age of Artificial Intelligence (Cambridge, Mass.: The MIT Press, 2018).
Meredith Broussard, Artificial Unintelligence: How Computers Misunderstand the World (Cambridge, Mass.: MIT Press, 2018). See Chapter 3 ("Hello, AI") and Chapter 11 ("Third-Wave AI").
Meredith Broussard, More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (Cambridge, Mass.: MIT Press, 2024). Will be released on April 2, 2024.
Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (New York: Crown, 2016).
Kate Crawford, The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (New Haven: Yale University Press, 2021).
John Brockman, ed., Possible Minds: 25 Ways of Looking at AI (New York: Penguin Books, 2019).
Janelle Shane, You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place (New York: Voracious, 2019).
Taylor Arnold and Lauren Tilton, Distant Viewing: Computational Exploration of Digital Images (Cambridge, Mass.: MIT Press, 2023).
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E-books from the Harvard Business Review Press (full-text available via Lehigh Libraries)
Thomas H. Davenport and Nitin Mittal, All-in On AI : How Smart Companies Win Big with Artificial Intelligence (Cambridge, Mass.: Harvard Business Review Press, 2023).
Ajay Agrawal, Joshua Gans, and Avi Goldfarb, Power and Prediction: The Disruptive Economics of Artificial Intelligence (Cambridge, Mass.: Harvard Business Review Press, 2022).
Marco Iansiti and Karim R. Lakhani, Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World (Cambridge, Mass.: Harvard Business Review Press, 2020).
Ajay Agrawal, Joshua Gans, and Avi Goldfarb, Prediction Machines: The Simple Economics of Artificial Intelligence (Cambridge, Mass.: Harvard Business Review Press, 2018).
Paul R. Daugherty and H. James Wilson, Human + Machine: Reimagining Work in the Age of AI (Cambridge, Mass.: Harvard Business Review Press, 2018).
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Guides from our peers
Quickstart Resources from the AI Pedagogy Project from Harvard and FU Berlin's metaLAB.
Carnegie Mellon University, Eberly Center for Teaching Excellence & Educational Innovation, "Generative AI Tools FAQ."
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.