The AI Risk Database captures 700+ risks extracted from 43 existing frameworks, with quotes and page numbers.
This is not a work done by CMU students but rather by MIT. Please support and check out the actual database: https://airisk.mit.edu/#How-to-use-the-AI-Risk-Repository Our goal was to simply prettify and make it easier to digest.
Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2024). A systematic evidence review and common frame of reference for the risks from artificial intelligence. http://doi.org/10.13140/RG.2.2.28850.00968