The following resources are geared toward faculty members who are interested in learning more about the pedagogical dimensions of generative AI, rethinking their approach to student research assignments, and using generative AI tools in their classroom.
Faculty AI Resources
- Spider AI PilotThe SpiderAI Pilot program is a service designed for teaching and learning at the University of Richmond. This platform offers access to a range of advanced GenAI models, all integrated into a single, user-friendly interface for teaching and learning. Faculty members can also grant students access, enriching their academic pursuits with the latest AI technologies. SpiderAI supports the processing of text, images, audio, video, and documents.
- Generative AI at the University of RichmondProvides guidelines on generative AI use for UR students, staff, and faculty, as well as links to relevant training and information resources.
- AI at URInformation from the Information Services division on AI's various applications and necessary considerations.
- A Framework for AI LiteracyAcademic and technologies teams at Barnard College developed an AI literacy framework to provide a conceptual foundation for AI education and programming efforts in higher education institutional contexts.
- "Surviving the Textpocalypse: Why Human Writing Matters More than Ever in the Age of Artificial Intelligence"Article by Liza Long on the concerns surrounding generative AI's impact on the (human) writing process.
- AI Text Generators - Sources to Stimulate Discussion Among TeachersLiving document compiled by Anna Mills for the Writing Across the Curriculum Clearinghouse with popular and scholarly articles on a variety of AI-related topics, such as prompt engineering for students, implications for higher education, and student perspectives on AI.
- Generative AI in the ClassroomProvided by Illinois State University's Center for Integrated Professional Development, this page offers a brief discussion of AI in the classroom setting,
- "Ethical Guidelines for Creating Content in a World of Generative AI: For the Classroom and Beyond" (March 2023)Article by Sukrit Venkatagiri on how to approach structuring a class that incorporates generative AI.
- 100+ Creative Ideas to use AI in EducationLiving document edited by Chrissi Nerantzi, Sandra Abegglen, Marianna Karatsiori and Antonio Martinez-Arboleda with individual slides dedicated to lesson and unit plans that utilize generative AI. Contributions include tools utilized, lesson goals, context for the lesson, and additional references.
- Adapting Your Teaching to Generative AI ToolsDocument compiled by Doug Holton and Ilene Frank with advice on incorporating generative AI into classrooms, including general "do's and don'ts" when using LLMs.
- AI Literacy: A Primer for Curricular PlanningPPT by librarians Benjamin Hall and Jimmy McKee that provides both background on generative AI concepts and practical tips for incorporating AI into coursework.
- ChatGPT: Understanding the new landscape and short-term solutionsDocument by Cynthia Alby that styles AI classroom advice in a "problem --> solution" approach.
- Exploring AI Pedagogy: A Community Collection of Teaching ReflectionsCompiled by the MLA-CCC Joint Task Force on AI and Writing, this page features entries from instructors who taught using generative AI, including what worked and what didn't work.
- Learn with AIHosted by the University of Maine, this site offers lesson ideas in which students collaborate with, write with, and tell stories using AI, as well as lessons that explicitly do not incorporate AI.
- Using Generative AI Responsibly for Brainstorming and Refining a Research QuestionLesson plan developed by Sarah Hood (Reference & Instruction Librarian at Santa Fe Community College) on introducing students to prompt engineering for academic research.
The proliferation of generative AI tools has been followed by the emergence of numerous AI-detection tools. Trained on both human and AI-generated content, these tools claim to be able to reliably distinguish between the two, focusing on concepts like burstiness and perplexity. However, AI detection tools have been plagued by frequent false positive and false negative results. This means that there is currently no AI detection tool with a reliable success rate.
Use the resources below to find additional information
- “Can AI-generated text be reliably detected?” (February 2024)Article detailing an experiment to study AI detection tools and show that they “are not reliable in practical scenarios”.
- “Why AI detectors think the US Constitution was written by AI” (July 2023)Article by Benj Edwards in ArsTechnica that provides background into the fallability of AI detectors.
- OpenAI “AI Classifier” Tool Discontinuation Notice (July 2023)Blog post from OpenAI noting that they have shut down their AI detection tool “due to its low rate of accuracy”.
- “’Nobody wins in an academic-integrity arms race’: How artificial intelligence is changing the way colleagues think about cheating” (June 2023)Excerpts from an online forum hosted by Ian Wilhelm for The Chronicle of Higher Education discussing issues of plagiarism and generative AI.
- Distributed AI Research Institute (DAIR)Founded by computer scientist and former Google employee Timnit Gebru, this organization of scholars and researchers focuses on the intersection of generative AI and marginalized communities.
- We and AINon-profit organization that publishes reports on racial bias and critical literacy through the lens of generative AI.
- More Useful ThingsExtension of Dr. Ethan Mollick's "One Useful Thing" blog, this website features links to prompt engineering libraries and other useful AI resources.
- Citing AI GuidePage from UR Library on how to cite generative AI discussions in MLA, APA, and Chicago formats.
People Writing about AI
The following authors, scholars, and researchers regularly publish on generative AI developments: