Resources for Learning About AI

• Intro to Large Language Models - YouTube (Andrej Karpathy) (slides) 
• Generative AI exists because of the transformer 
• A Generative AI Primer | EDUCAUSE Review 
• Large Language Models explained briefly 

• in higher ed 
  • 2024 EDUCAUSE AI Landscape Study 
  • 7 Things You Should Know About Generative AI | EDUCAUSE Review 
  • Benefits, Challenges, and Sample Use Cases of Artificial Intelligence in Higher Education (Hanover Research & IHE)
• in the broader environment 
  • A New Age of Enlightenment? A New Threat to Humanity?: The Impact of Artificial Intelligence by 2040 (Imagining the Digital Future Center - Elon University) 
• surveys of AI use
  • Digital Education Council Global AI Student Survey 2024 

• Using ChatGPT in the Workplace: Strategies for Faculty, Staff, and Administrators - YouTube (Anna Mills) 
• Wharton Interactive Crash Course: Practical AI for Instructors and Students - YouTube 

AI Guide – The AI Pedagogy Project (metaLAB (at) Harvard) 

• Crowd-sourced list of Syllabus Policies for Generative AI (Lance Eaton) 
• AI Syllabus Language Heuristic (Lance Cummings) 
• AI Decision Tree – Artificial Intelligence Tools – Faculty Support (Oregon State University) 
• The Sentient Syllabus Project (support for different stages/aspects in course/syllabus design) 
• Generative A.I. in Fall 2023 - Faculty Resource Guide (Carroll College) -- based on key principles: Clarify, Communicate, Uphold, Engage 
• Strategies for Creating “Generative AI-Resistant” Assessments (U Wisconsin) 
• Advice about AI in the classroom for the coming new year (opinion) (Inside Higher Ed) 
• Can I Use AI? – tool for generating clear AI use guidelines according to the nature of an assignment (Ryan Watkins) 
• Engaging With AI Isn't Adopting AI (Marc Watkins) – "normalizing AI disclosure as a means of curbing the uncritical adoption of AI and restoring the trust between professors and students" 
• Five Tips for Writing Academic Integrity Statements in the Age of AI  - Faculty Focus | Higher Ed Teaching & Learning (Torrey Trust) – and see her detailed example of how you might articulate AI use guidelines in a syllabus (the specificity and the "why is this allowed" may get students' attention in ways that more general language might not) 

• Survival Guide to AI and Teaching, pt. 10: Talking to Your Students About AI and Learning – EDVICE EXCHANGE 
• From AI to A+: Prepare Your Students for Using ChatGPT and other AI | by Ryan Watkins | Medium 

• AI detection & its issues 
  • AI Detection: A Literature Review (Chris Ostro) – "any discussion about AI detection has to be paired with additional training" 
  • Testing of detection tools for AI-generated text | International Journal for Educational Integrity: "Detection tools for AI-generated text do fail, they are neither accurate nor reliable (all scored below 80% of accuracy and only 5 over 70%)." 
  • AI detectors have a bias against non-native English speakers 
  • The Use of AI-Detection Tools in the Assessment of Student Work (Sarah Eaton) – “If you insist on using tools to detect AI-generated text in student work at least do so in an open and transparent way” 
  • GPT detectors are biased against non-native English writers: Patterns (Liang et al.) – “GPT detectors frequently misclassify non-native English writing as AI generated” 
  • Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays | Computers and Education: Artificial Intelligence (Fleckenstein et al.) – “Generative AI can simulate student essay writing in a way that is undetectable for teachers” 
  • A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study | PLOS ONE 
  • Simple techniques to bypass GenAI text detectors: implications for inclusive education | International Journal of Educational Technology in Higher Education 
• Constructive approaches to academic integrity & assessment validity 
  • Academic Integrity - Artificial Intelligence in Teaching & Learning (Camosun College Library) 
  • Updating the AI Assessment Scale - Leon Furze – and see his detailed explanation and examples for AI Assessment Scale Level 1: No AI 
• Examples of tools used to fool AI detectors 
  • AI Detector, AI Checker, & AI Humanizer | Undetectable AI 

• Teaching AI Ethics: The Series – Leon Furze 
• Demystifying AI - YouTube – AI & Bias (UCLA Institute for Technology, Law & Policy) 
• AI Ethics & Policy News - Examples of AI ethics issues covered in the news, categorized by issue area 
• Ethics & Society at Hugging Face – description and examples of application of Hugging Face’s framework for ethical AI (Rigorous; Consentful; Socially Conscious;  Sustainable; Inclusive; Inquisitive) 

• Real or Fake? The AI Deepfake Game - Leon Furze 

• Quick Start Guide to AI and Writing (MLA-CCCC Joint Task Force on Writing and AI) 
• Exploring AI Pedagogy – A Community Collection of Teaching Reflections (MLA-CCCC Joint Task Force on Writing and AI) 

• Custom GPTs at MIT Sloan: A Comprehensive Guide 

• Assignments – The AI Pedagogy Project  (metaLAB (at) Harvard) 
• 101 Creative Ideas to Use AI in Education 
• Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts (Ethan R. Mollick, Lilach Mollick) 
• Learn with AI (University of Maine) - partially crowdsourced but curated collection of links (with brief descriptions) to teaching resources and strategies 
• Exploring AI Pedagogy – A Community Collection of Teaching Reflections (MLA-CCCC Joint Task Force on Writing and AI) 
• Worked examples – discussion thread with example prompts for using genAI to assist in different learning scenarios (requires joining POD AI in Education discussion group)

• Generative Artificial Intelligence: Practical Uses in Education (Troy Heaps) 
• Teaching with AI : A Practical Guide to a New Era of Human Learning (José Antonio Bowen and C. Edward Watson – AAC&U) 

• Citing AI Tools (U Calgary Libraries) – summaries of APA, Chicago and MLA styles + other sources of citation guidance 
• How do I cite generative AI in MLA style? (MLA Style) 
• Citing content developed or generated by artificial intelligence (Chicago Manual of Style) 
• How to cite ChatGPT (APA Style) 

• The Artificial Intelligence Disclosure (AID) Framework: An Introduction | Weaver | College & Research Libraries News 

• ai4lam (AI projects, data sets, resources for libraries, archives and museums) 
• AI + Libraries: Information Literacy, Instruction, & Reference (Florida International University Libraries) 

• AI Educator Tools (Dan Fitzpatrick) 
• Prompt library (Anthropic/Claude) 
• There's An AI For That (TAAFT) 

Generative AI Product Tracker - Ithaka S+R 

• AI - EDUCAUSE Connect (requires EDUCAUSE account – AUP faculty & staff can create accounts) 
• AI & Libraries 
  • AI & Libraries Slack group 
  • ai4lam - Community Calls (meeting notes and recordings)

• AI + Education = Simplified (Lance Eaton) 
• One Useful Thing (Ethan Mollick) 
• AILA→ AI in the Liberal Arts newsletter (Amherst College) 
• Wonder Tools (Jeremy Caplan) 

• Broad principles for AI in higher ed 
  • Joint statement on Artificial Intelligence in Higher Education (UN  lnternet Governance Forum, Kyoto, Oct 2023) 
  • New principles on use of AI in education (Russel Group of leading UK universities) 
• Organizational assessment 
  • Higher Education Generative AI Readiness Assessment | EDUCAUSE 
  • Educause Generative AI Readiness Assessment - Action Plan (Joe Sabado) 
  • AI Preparedness Checklist | 1EdTech 
  • Higher Education AI Capability Maturity Model - Joe Sabado 
• Developing a strategy 
  • Cross-Campus Approaches to Building a Generative AI Policy | EDUCAUSE Review 
  • 2023 EDUCAUSE Horizon Action Plan: Generative AI 
  • Enhancing Higher Education With Generative AI: A Responsible Approach (MIT strategy guide for addressing AI at higher ed institutions) 

• Governmental policy frameworks & recommendations 
  • Europe 
    • EU AI Act 
    • The AI Act Explorer | EU Artificial Intelligence Act 
    • AI Act | Shaping Europe’s digital future 
  • France 
    • IA : la CNIL publie ses premières recommandations sur le développement des systèmes d’intelligence artificielle | CNIL 
  • United States 
    • Blueprint for an AI Bill of Rights | OSTP | The White House 
    • Artificial Intelligence and the Future of Teaching and Learning - Office of Educational Technology 
• Higher ed frameworks & recommendations for policy development 
  • Cross-Campus Approaches to Building a Generative AI Policy | EDUCAUSE Review 
  • Developing Institutional Level AI Policies and Practices: A Framework - WICHE Cooperative for Educational Technologies – based on this study: 
    • A Comprehensive AI Policy Education Framework for University Teaching and Learning 
  • AI on Campus: The 5 Things Higher Ed Needs to Consider When Crafting AI Workplace Policies | Fisher Phillips 
• Commentary & analysis on higher ed AI policy 
  • Your AI policy is already obsolete (opinion) (IHE) 
  • AI and ethics: Investigating the first policy responses of higher education institutions to the challenge of generative AI | Humanities and Social Sciences Communications 
• Library & publishing organizations’ guidance on AI 
  • Research Libraries Guiding Principles for Artificial Intelligence (ARL) 
• Examples of existing policies 
  • Lists of existing policies 
    • Database of AI policies and guidelines at higher education institutions (Joe Sabado) 
    • University Policies on Generative AI  
    • AI Observatory | HESA – international examples of institutional policies & guidelines 
    • Institutional AI Policies & Governance Structures (Lance Eaton) 
  • Specific examples of note 
    • (proposed) AI Code of Conduct (metaLAB (at) Harvard) 
    • Usage Guidelines for AI Generative Tools at CU (College Unbound / Lance Eaton)  
    • See “AUP-relevant examples of campus-level initiatives” below
• Templates for developing your own policy 
  • Campus Guidelines for the use of Artificial Intelligence (Joe Sabado) 

(See also the section above “Communicating with students about AI & AI use - Academic integrity & AI use”) 

• Using human rights principles to guide academic integrity policies 
  • Human rights by design: future-proofing human rights protection in the era of AI (Council of Europe Commissioner for Human Rights) 
  • Future-proofing integrity in the age of artificial intelligence and neurotechnology: prioritizing human rights, dignity, and equity (Sarah Eaton) 
• Postplagiarism: Helping Students Maintain Academic Integrity in the Age of Artificial Intelligence”  (Sarah Eaton) 
• Why (And How) to Preserve an Honor Code (Josh Brake) 

• AI literacy frameworks 

  • A systematic review of AI literacy conceptualization, constructs, and implementation and assessment efforts (2019–2023) 

  • A Framework for AI Literacy (Barnard College’s scaled framework for moving up a scale: Understand → Use → Analyze → Create) 

  • Building a Culture for Generative AI Literacy in College Language, Literature, and Writing (MLA & CCCC) 

  • AI Literacy Model - Practitioner-Scholar Approach Template (Joe Sabado) 

  • AI Literacy in Teaching and Learning: A Durable Framework for Higher Education (EDUCAUSE AI Literacy Programs for Faculty, Staff, and Students Working Group) 

  • SUNY: Civic Discourse and Artificial Intelligence to be Integrated into Existing 30-Credit Requirement - Updates to their gen ed learning outcomes are highlighted in this memo: info lit learning outcomes now mention evaluating *origins* of information and understanding ethical dimensions of information work using AI 

  • What you need to know about UNESCO's new AI competency frameworks for students and teachers (UNESCO) - both frameworks emphasize a human-centered mindset and AI ethics, as well as understanding of AI in order to use it in learning or teaching contexts 

• AI across the curriculum 

  • Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy (Southworth et al.) – includes U Florida’s AI literacy framework 

  • The next step in higher ed's approach to AI (opinion) (IHE) (Kathleen Landy) 

• Liberal arts colleges 
  • Amherst College: 
    • AI at Amherst 
    • AI in the Liberal Arts 
  • Davidson College: 
    • Generative Artificial Intelligence - Research Guides at Davidson College 
• Larger universities 
  • Generative AI Employee Resources - Provost & Chief Academic Officer - UNC Chapel Hill 
  • Teaching with Generative AI at U of T (University of Toronto) 
• AMICAL Consortium institutions 
  • Campus-level responses to generative AI: An AMICAL panel & workshop (recording and links to resources mentioned) 
  • Artificial Intelligence | The American University in Cairo 
  • CLT: AI & Higher Education (Forman Christian College) 
  • Introduction to Prompt Engineering (AU Kuwait Center for Teaching Excellence) 

• GenAI Guidelines | SDSU