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Generative AI: Supporting AI Literacy, Research, and Publishing

Useful Research, Discovery, and Visualization Tools

Interested in using AI tools in your research? Check out our AI Tools for Research guide!

Further Reading

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/
Pearson, H. (2024). Can AI review the scientific literature—And figure out what it all means? Nature, 635(8038), 276–278. https://doi.org/10.1038/d41586-024-03676-9
Ithaka S+R. (2024). Generative AI Product Tracker. https://sr.ithaka.org/our-work/generative-ai-product-tracker/
Michigan Institute for Data and AI in Society. (2024). User’s Guide – MIDAS. https://midas.umich.edu/research/research-resources/generative-ai-hub/users-guide/
Sanderson, K. (2023). AI science search engines are exploding in number—Are they any good? Nature, 616(7958), 639–640. https://doi.org/10.1038/d41586-023-01273-w
Krzton, A. (2023). Ir/Responsible Use of Machine Learning in Research Recommendation Tools. ACRL National Conference, March 15-18, 2023, Pittsburgh, Pa.
Lewis, J. D. (2022). Analyzing the Scholarly Conversation: New Tools for Efficiently Finding, Evaluating, and Visualizing Research. The Innovative Library Classroom, June 2022, Williamsburg, Va.

Last Updated: Oct 29, 2025 12:24 PM
URL: https://guides.libraries.wm.edu/GenerativeAI
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Subjects: Business, Research Tools