General resources on ChatGPT and other generative AI tools
- Slides from Dr. Torrey Trust from University of Massachusetts Amherst: talks about what ChatGPT is, what it can do and can’t do (yet), and ideas for assessment design. Also has links to many other useful resources.
- The Sentient Syllabus Project, by Boris Steipe and others: includes suggestions for learning objectives, learning activities, and syllabus language in an era of generative AI. Includes three principles that faculty may wish to share with students: “(1) An AI cannot pass this course; (2) AI contributions must be attributed and true; (3) The use of AI tools should be open and documented.”
- AI Text Generators and Teaching Writing: Starting Points for Inquiry: a set of frequently-updated resources and links created by Anna Mills, hosted through the Writing Across the Curriculum Clearinghouse.
- Generative Artificial Intelligence Technologies and Teaching and Learning, from Monash University: suggestions for how to talk with students about generative AI, sample language for class guidelines around AI use, suggestions for assessment design, and more.
- Teaching Writing in the Age of AI, a series of five posts by Leon Furze on topics such as academic integrity, suggestions for assignment design for those that teach writing, and more. The link goes to the final post, which has links to the first four as well.
- Quick Start Guide to AI and Writing, a list of frequently-updated resources on various topics, from a Modern Language Association & Conference on College Composition and Communication joint task force on writing and AI.
Ethical considerations around generative AI writing tools
- AI and the Future of Teaching and Learning, from Contact North: unpacks some of the larger ethical questions of using AI, among other topics.
- Birhane, A. (2020). Algorithmic Colonization of Africa. Philosophy & Technology, 33(3), 491-500. doi: 10.1007/s13347-020-00417-9
- Bender, E.M., Gebru, T., McMillan-Major, A., and Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery. ISBN 9781450383097.
- Teaching AI Ethics, by Leon Furze (January 2023): discusses several ethical issues related to generative AI tools.
- Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., Kenton, Z., Brown, S., Hawkins, W., Stepleton, T., Biles, C., Birhane, A., Haas, J., Rimell, L., Hendricks, L. A., … Gabriel, I. (2021). Ethical and social risks of harm from Language Models. arXiv.
Assessment design and class guidelines
- A collection of 101 creative ideas to use AI in education: an open educational resource collecting new ideas until March 31, 2023 (with existing contributions available already)
- Mollick, E.R. and Mollick, L. (December 13, 2022). New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments. Available at SSRN.
This article discusses ways to use the output of AI Chatbots to improve student learning, including their ability to transfer knowledge and engage in critical evaluation. - Classroom policies for AI Generative Tools: a list of various class guidelines on generative AI use, including language used in syllabi. Curated by Lance Eaton at College Unbound.
Sample generative AI tools
Futurepedia has a very extensive list of AI tools, updated daily. We note here just a few of the many.
Generative AI writing tools include:
- Moonbeam: supports writing longer texts such as blog posts, articles, essays, and more.
- Sudowrite: creates first drafts based on concepts, users can ask it to describe, expand, rewrite, provide feedback, and more.
- Quillbot: provides a way to paraphrase and summarize inputted text, among other functions.
- Humata.ai: can summarize long documents such as PDFs, answer questions about them, and also support writing based on the content of those documents.
- Search engines with chat functions, such as Bing AI Search Engine, perplexity.ai, and you.com. Unlike ChatGPT, these are connected to the internet and can cite sources.
Tools that provide support for research include:
- Elicit: can find relevant papers without perfect keyword match, summarize takeaways from the paper specific to a question, and extract key information from the papers
- NaimAI: helps with literature reviews by searching for articles according to keywords. Can also generate a literature review.
Tools for generating code include:
- Github Copilot: suggests code and functions in real time based on context in comments and previous code.
- Tabnine: similar to Copilot, with a few differences including the claim to only train the models on open source code with licenses that permit such use.
Tools for generating images
- DALL-E 2: OpenAI’s image text to image bot
- Nightcafe: AI Image Generator
- Stable Diffusion: web interface generates multiple images based on a single prompt
