AI Resources
This page contains resources that can St. Kate's faculty and staff in their AI journey. You will find general resources on learning about and using AI, resources on AI in higher ed, and ways to stay informed and current on AI and its impacts in higher educaiton.
Getting Started with AI
- AI Literacy and Training
What is Generative AI? (McKinsey & Company)
A widely cited short introduction to the fundamentals of Generative AI.
A series of free courses on AI topics offered by Anthropic, the company behind Claude.
A series of free courses provided by Google.
Student Guide to Artificial Intelligence
A helpful and widely-used guide published by Elon University. A great resource to point students to, but can be informative and beneficial for faculty and staff as well.
An organization offering a variety of courses in AI, including a monthly free "Intro to AI" class.
- Prompting
Prompt Engineering
Generative AI Quick Reference Guide (Notre Dame)
Introduces the CRAFT formula (Context, Role, Action, Format, Tone) for better prompts, listing key use cases and best practices.
Other Frameworks:
Another CRAFT (Context, Request, Actions, Frame Template)
CRAFTING (Context, Register, Acting Role, Format, Task, Interactive, Non-disclosure, Goal-driven)
CLEAR (Concise, Logical, Explicit, Adaptive, Reflective)
Context, Task, Instruction, Clarify, Refine
POWER (Pause, Orchestrate, Write, Engage, Review)
Prompt Libraries
Harvard Prompt Library (Focused on customized chatbots)
AI for Education Prompt Library
Ethan and Lilach Mollick’s Prompt Library
AI Advisory Boards Examples for Educators
Research Articles
Jacobsen, L. J., & Weber, K. E. (2025). The Promises and Pitfalls of Large Language Models as Feedback Providers: A Study of Prompt Engineering and the Quality of AI-Driven Feedback. AI, 6(2), 35. https://doi.org/10.3390/ai6020035
Murray, S. (2025, August 4). Study: Generative AI results depend on user prompts as much as models. MIT Sloan Ideas Made to Matter. Link to Article
Lee, D., & Palmer, E. (2025). Prompt engineering in higher education: a systematic review to help inform curricula. Int J Educ Technol High Educ, 22, 7. https://doi.org/10.1186/s41239-025-00503-7
AI in Education
- General Resources
The Jisc Generative AI Primer explores AI's role in education, focusing on its potential to transform teaching and assessment while addressing ethical considerations.
ChatGPT and Artificial Intelligence in Higher Education (UNESCO)
The UNESCO guide provides a quick-start framework for integrating AI tools into academia responsibly, addressing benefits and challenges.
Bowen, J. A., & Watson, C. E. (2025). Teaching with AI: A practical guide to a new era of human learning (2nd ed.). Johns Hopkins University Press. https://www.press.jhu.edu/books/title/54122/teaching-ai
A popular introduction to teaching with AI.
- Teaching and Learning with AI
Designing Writing Assignments in the Age of Generative AI
Nathaniel Myers discusses the impact of AI on student writing and offers strategies for promoting authentic learning.
Enhancing Assignments with AI Transparency
Alex Ambrose demonstrates how to test AI tools on real assignments to understand their strengths and weaknesses.
Learning Goals and Generative AI in Writing Assignments
Explores how to preserve learning goals while considering the drawbacks and benefits of AI integration.
Philosopher Lily Abadal describes a scaffolded, in-class writing assignment designed to help students learn without recourse to AI.
The Multi-Day In-Class LockDown Browser Essay Assignment
John Robison explains using LockDown Browser to replicate traditional take-home humanities essays in a controlled environment.
101 Creative Ideas to Use AI in Education
A crowdsourced collection of imaginative applications for integrating AI into teaching and learning.
Website companion to the book by C. Edward Watson and José Antonio Bowen, featuring a wide variety of pedagogical resources.
- Research and Publishing
A guide from the SCU library on acknowledgment and citation protocols for researchers and students.
- Academic Integrity and Policies
St. Kate's policy on academic integrity, including the use of AI.
A guide from the SCU library on acknowledgment, citation, and more. Useful for students and for faculty transparency in assignments that permit AI use.
Grammarly Authorship Information
Information on Grammarly Authorship, a tool that tracks how a document is produced and generates a report that can be submitted alongside an assignment. Includes details on how to require this feature in course instructions.
Creating Your Course Policy on AI (Stanford)
Example syllabus statements, suggestions for content, and sample language for drafting your own course policy on AI.
Classroom Policies for AI Generative Tools (Google Doc)
A comprehensive collection of classroom AI policies curated by Lance Eaton.
The article introduces the Artificial Intelligence Assessment Scale (AIAS), a practical framework that empowers educators to manage the ethical integration of generative AI by selecting specific levels of permitted usage based on desired learning outcomes.
AIAS: Why We've Driven Through the Traffic Lights
A follow-up that addresses critiques and proposes revisions to the original framework.
St. Kate's Turnitin Detection Training Course
A thorough explanation of the Turnitin AI detection tool and strategies for using it effectively.
AI Conversations: Handling False Positives for Students
A guide sharing strategies students can consider when confronted with a potential false positive in AI detection.
AI Conversations: Handling False Positives for Educators
A guide sharing strategies educators can use to manage discussions and assessments when AI detection triggers a false positive.
Academic Integrity in the Age of AI (Turnitin)
An overview of resources for educators searching for academic integrity solutions in instruction and assessment.
Ethics and Impacts
- General Ethics Resources
Massachusetts Library System’s guide on ethical, privacy, environmental, and economic risks of generative AI.
Generative AI Ethics and Privacy
Johns Hopkins' resource on data security, biases, and guidelines for responsible AI usage.
Privacy Considerations for Generative AI
University of Illinois' guidance on data governance, transparency, and mitigating misuse risks.
Leon Furze offers guidance for educators on discussing bias, privacy, environmental impact, and intellectual property in the classroom.
Managing the Risks of Generative AI
An HBR article exploring business and organizational risks, stressing the balance between innovation and ethical guidelines.
AI Ethics Learning Toolkit (Duke)
A student-centered toolkit to help instructors engage students in critical conversations about AI across disciplines.
- AI Companions & Therapists
A study led by researchers from the nonprofit Common Sense Media with the help of Stanford researchers on how AI chatbots exploit teenagers’ emotional needs, often leading to inappropriate and harmful interactions.
Stanford Report review and interviews
Emotional risks of AI companions demand attention. Nat Mach Intell 7, 981–982 (2025). https://doi.org/10.1038/s42256-025-01093-9
This article from Nature discusses the emotional risks associated with the rapid integration of AI companions into mental health and wellness, highlighting the need for regulatory frameworks to address unhealthy user attachments and ensure ethical, safe design.
De Freitas, Julian, Zeliha Oğuz Uğuralp, and Ahmet Kaan Uğuralp. "Emotional Manipulation by AI Companions." Harvard Business School Working Paper, No. 26-005, August 2025. (Revised October 2025.)
A study from Harvard Business that found that several AI platforms designed as "companions" employed strategies to discourage users from logging off, highlighting concerns about user well-being and ethical AI design.
Iftikhar, Z., Xiao, A., Ransom, S., Huang, J., & Suresh, H. (2025). How LLM Counselors Violate Ethical Standards in Mental Health Practice: A Practitioner-Informed Framework. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 8(2), 1311-1323. https://doi.org/10.1609/aies.v8i2.36632
The study from Brown University found that AI chatbots frequently violate practitioner ethical guidelines by delivering insensitive or potentially dangerous responses to individuals seeking mental health support.
Exploring the Dangers of AI in Mental Health Care
A Stanford study reveals that AI therapy chatbots may not only lack effectiveness compared to human therapists but could also contribute to harmful stigma and dangerous responses.
AI Companions Are Not Your Teen’s Friend
This article argues that current AI regulations are insufficient to protect adolescents from the emotional manipulation and psychological risks posed by AI companions, calling for a new federal regulatory strategy grounded in neuroscience and public health.
- Ecological Impacts
An International Energy Agency (IEA) report on the "energy-AI nexus," analyzing electricity demand and clean energy transitions.
We Did the Math on AI’s Energy Footprint
MIT Technology Review investigation into the escalating environmental impact and carbon emissions of the AI industry.
A spreadsheet curated by Sarah Wood evaluating AI tools based on privacy scores, grade-level safety, and environmental impact.
- Philosophical Considerations
TEDx Talks. (2025). What if AI is making your life worse? | Benjamin Mitchell-Yellin [Video]. YouTube.
A set of questions to judge whether an AI tool truly improves quality of life or risks worsening existing problems.
Shannon Vallor, The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking (OUP, 2024)
- Impacts on Writing and Thinking
Kosmyna, N., et al. (2025). "Your brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant for essay writing tasks." arXiv preprint.
MIT study showing that overreliance on AI for writing may lead to reductions in functional brain connectivity and memory recall.
Fritts, M. (2025, May 12). A Matter of Words: What can university AI committees actually do? The Point Magazine.
An essay on the writing process and how language expression shapes identity, values, and humanity.
- Families, Children, and Community
4 Steps to Debating Technology and AI with Your Child
A four-step process—Prepare, Engage, Reflect, and Repeat—to encourage critical thinking about tech's impact through home discussions.
Explains AI's impact on children and offers tips on privacy, safety, and responsible usage.
Allied Media Projects' guide to AI's social impacts, focusing on ethics and its effects on marginalized communities.
Interactive Parents' Guide to AI Tools
Family-oriented guidance to help parents understand the benefits, risks, and strategies for safe AI use.
- Existential Concerns
Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (OUP, 2014), 9780198739838
Yudkowsky, E., & Soares, N. (2025). If anyone builds it, everyone dies: why superhuman AI would kill us all. First edition. Little, Brown and Company.
Two prominent AI researchers warn that current approaches to developing AI are likely to be uncontrollable and could lead to human extinction unless development is stopped or radically changed.
Listen to this interview with one of the authors on the Ezra Klein show.
A scenario project that illustrates how rapid advances in AI could lead to superhuman systems and severe global risks by 2027 if current development paths continue.
Listen to this interview with one of the founders of the project, Daniel Kokotajlo (formerly of OpenAI) on the Interesting Times podcast.
Tools
Please visit the Apps and Tools page of this site.
Staying Current
- Substacks and Blogs
Newsletter focusing on rhetoric, writing, and AI in education.
AI + Education = Simplified (Lance Eaton)
Practical and responsible uses of AI in teaching and learning.
AI & How We Teach (Annette Vee)
Exploring AI’s impact on writing instruction and pedagogy.
One Useful Thing (Ethan Mollick)
Substack exploring the implications of AI for work, education, and life.
Education Disrupted (Stefan Bauschard)
Dedicated to preparing students for an AI-driven world through critical thinking and collaboration.
Educating AI (Nick Potkalitsky)
Delving into critical questions at the heart of AI's role in education.
- Podcasts
A daily podcast covering the latest news and updates concerning AI.
The Artificial Intelligence Show
A weekly podcast diving deep into the latest technical and social developments in AI.
Interviews with higher ed professionals on a variety of AI-related topics.
Covers the latest generative AI developments as they relate specifically to higher education.
Designed for Learning (Notre Dame)
A podcast from the University of Notre Dame that frequently features episodes on AI in higher education.
A weekly podcast designed for higher education professionals navigating the world of AI.
Swinburne AI in Education Podcast
A podcast from Swinburne University of Technology in Australia focusing on AI in higher ed.