Resources for Learning About AI

Syllabus statements & course design

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)

Discussing AI with students

Academic integrity & AI use

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

AI & ethics

Critical source evaluation

Teaching writing

Technical guidance for using AI in teaching

Other teaching resources

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)

Books on teaching & AI

AI in libraries

Tools

Products & licensing

Discussion with global peers

Blogs & newsletters

Developing campus-level strategy and initiatives

Environment, frameworks & examples for policy development

Academic integrity policies

(See also the sections above on “Encouraging academic integrity” and “AI detection”)

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 & curricular integration

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)

AUP-relevant examples of campus-level initiatives

Staff guidelines on AI use – examples

Search form

Resources for Learning About AI

Intros & background

Communicating with students about AI & AI use

Perspectives & discussion material on AI in learning/teaching

Teaching with and about AI

Guides for students

AI in libraries & research

Clearinghouses of information/resources

Discussion & keeping up

Training opportunities

Campus-level AI initiatives & policy development