Explore these faculty-focused resources and topics.

AI for Faculty on Campus

ND Learning has many resources focused on AI and the unique challenges it presents to instruction.

Hesburgh Library provides detailed resources focused on topics including using AI in Research and Citing AI

Generative AI Policies

Guidelines for Using Generative AI in Instruction. 

Generative AI Policy for Students.

 

Resources

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NameCategorySummary
4-Steps to Debating technology and AI with your child (2020) Families, Children, and Community The guide helps parents debate technology and AI with kids using a four-step process: Prepare, Engage, Reflect, and Repeat. It encourages critical thinking, balanced perspectives, and hands-on experience to explore tech's impact through home discussions
A Generative AI Primer (JISC) AI Literacy and Training The Jisc Generative AI Primer explores AI's role in education, focusing on its potential to transform teaching and assessment. It highlights ethical considerations, offers guidance for educators, and examines AI's implications for higher education.
AI guide for parents Families, Children, and Community The UNICEF AI guide for parents explains AI's impact on children, offering tips on privacy, safety, and responsible usage. It helps parents understand AI's risks and benefits to ensure children navigate AI technologies responsibly.
AI Recommendations for Instructors Academic Integrity The AI recommendations urge instructors to define AI use in coursework, stressing academic integrity. Instructors should familiarize themselves with AI tools, use them judiciously, and set clear expectations in syllabi, recognizing AI detection limits
A People’s Guide to AI Families, Children, and Community The "People’s Guide to AI" by Allied Media Projects explains AI's social impacts, focusing on ethics and its effects on marginalized communities. It offers practical advice for understanding and critically engaging with AI.
ChatGPT and Artificial Intelligence in higher education (UNESCO) AI Literacy and Training The UNESCO guide on ChatGPT and AI in higher education offers a quick start for integrating AI tools into academia. It addresses ethical considerations, benefits, and challenges, providing educators with advice on responsibly using AI to enhance learning.
Citing Generative AI Research and Publishing AI Citing: Explains how to properly cite AI-generated content in academic work, offering examples and recommendations to ensure academic integrity.
Concerns about AI Ethics and Privacy The Massachusetts Library System's guide discusses the ethical, privacy, environmental, and economic risks of generative AI. It provides resources for librarians and educators to address these issues, emphasizing responsible AI use.
Designing Writing Assignments in the Age of Generative AI Teaching and Learning with AI Nathaniel Myers, an associate teaching professor in Notre Dame’s University Writing Program, discusses the impact of generative AI on student writing and offers strategies for designing assignments that promote authentic learning.
Enhancing Assignments with AI Transparency Teaching and Learning with AI In this video, Alex Ambrose, a professor of the practice in Notre Dame Learning’s Kaneb Center for Teaching Excellence, demonstrates how to test AI tools on real assignments to understand their strengths and weaknesses.
Generative AI Ethics and Privacy Ethics and Privacy Johns Hopkins' "ChatGPT: Ethics & Privacy" page examines the ethical and privacy challenges of AI, focusing on data security, biases, and AI's role in decision-making. It provides guidelines for responsible AI use.
Generative AI in Higher Education: The Product Landscape Tools and Applications of AI The Ithaka S+R report on "Generative AI in Higher Education" examines AI's transformative potential, addressing challenges like academic integrity and bias. It emphasizes the need for institutional support to responsibly integrate AI.
Generative AI Quick Reference Guide (8/13/2025) AI Literacy and Training The Generative AI Quick Reference Guide (8/13/25) introduces the CRAFT formula (Context, Role, Action, Format, Tone) for better prompts. It lists key use cases, best practices, and cautions, urging iteration and human oversight.
Generative Artificial Intelligence (AI) Overview Research and Publishing AI Overview: Offers a broad introduction to AI, covering its definition, history, and impact across various fields. It also discusses ethical considerations and the potential future of AI.
Glossary of AI terms AI Literacy and Training A helpful list of AI Terms
Guide to ChatGPT for Parents and Caregivers (2023) Families, Children, and Community The Common Sense Media guide on ChatGPT helps parents and caregivers understand AI's benefits and risks for kids. It offers tips on safe usage, setting boundaries, and fostering critical thinking, ensuring children use AI responsibly and ethically.
Interactive parents' guide to AI tools Families, Children, and Community The Jisc Generative AI Primer examines AI's potential in education, focusing on its effects on teaching, learning, and assessment. It discusses ethical issues, provides practical guidance, and emphasizes the need for responsible AI integration.
Managing the Risks of Generative AI AI Literacy and Training This HBR article explores business risks tied to generative AI, offering strategies like ethical guidelines, data privacy, and transparency. It stresses balancing innovation with responsible AI use to avoid negative consequences.
Privacy Considerations for Generative AI Ethics and Privacy This University of Illinois' page highlights risks like data misuse and ethical issues in AI decision-making. It recommends strong data governance, transparency, and ethical awareness to mitigate these risks effectively.
Publishing & Copyright Research and Publishing AI Publishing & Copyright: Discusses the implications of AI in publishing, including copyright concerns and the ethical use of AI-generated works.
Statement on Generative AI and Academic Integrity Academic Integrity Notre Dame's May 2023 statement stresses academic integrity in using generative AI, allowing faculty to set AI guidelines in courses. It warns against presenting AI-generated content as personal work, with violations addressed under the Honor Code.
Talking about Generative AI: A Guide for Educators AI Literacy and Training This article by Sidney Dobrin examines the ethical implications and impacts of generative AI in education and communication. It focuses on understanding, responsible use, and critical engagement with AI, encouraging thoughtful discourse.
Teaching AI Ethics Ethics and Privacy Leon Furze offers guidance for educators on discussing AI ethics, including topics like bias, privacy, environmental impact, and intellectual property. It stresses the importance of integrating ethics into curricula and fostering critical thinking.
Using Gen AI in Research Research and Publishing AI Research: Focuses on the use of AI in academic research, providing resources and tools for integrating AI into research methodologies and data analysis.
Writing Gen AI Prompts Research and Publishing AI Writing Prompts: Provides guidance on using AI tools to generate writing prompts, emphasizing creative applications while addressing potential ethical issues.