Institute for Data, Econometrics, Algorithms, and Learning published Issue No. 3 of The AR&C Compliance Stack examining what happens after AI rules are written through three frameworks including the Illinois Artificial Intelligence Safety Measures Act, FDA draft guidance, and the EU AI Act's high-risk regime.
Published
Signal category
Research & Knowledge
Quote
“Issue No. 3 of The AR&C Compliance Stack, “A BOTTOM-UP APPROACH TO AI REGULATION” [https://lnkd.in/gf-2VNtw] examines what happens after the AI rules are written, through three frameworks: the Illinois Artificial Intelligence Safety Measures Act (the first state to mandate an annual independent audit of frontier AI developers), FDA draft guidance on AI in drug and biologic decision-making, and Articles 10 and 14 of the EU AI Act's high-risk regime.”
— STEVEN KEITH PLATT|Institute for Data, Econometrics, Algorithms, and Learning team
Company
Institute for Data, Econometrics, Algorithms, and Learning
A transdisciplinary institute involving UIC, NU, TTI-C, UC, & IIT that focuses on the foundations of data science.
- Industry
- Higher Education
- Location
- Chicago, US
- Company size
- 3 employees
A multi-institution and transdisciplinary institute involving the University of Illinois Chicago; Northwestern University; Toyota Technological Institute at Chicago; the University of Chicago; and Illinois Institute of Technology, in partnership with members of the Learning Theory team at Google that focuses on key aspects of the theoretical foundations of data science.