The first annual update to the AI Risk-Management Standards Profile for General-Purpose AI Systems (GPAIS) and Foundation Models (Version 1.1) has been published by a team of researchers affiliated with the UC Berkeley Center for Long-Term Cybersecurity (CLTC) and the CITRIS Policy Lab.
Brandie Nonnecke, director of the CITRIS Policy Lab, co-authored the report alongside CLTC colleagues Anthony Barrett, Dan Hendrycks, Krystal Jackson, Nada Madkour, Evan R. Murphy, Jessica Newman and Deepika Raman.
Nonnecke also co-authored a a new guide, produced by the Responsible AI Initiative of the Berkeley AI Research Lab (BAIR) and the UC Berkeley Haas School of Business, to help organizations navigate the choppy waters of generative AI.
The project grew out of a partnership with Google, which provided funding. The project team, which includes researchers from Stanford University and the University of Oxford along with UC Berkeley, conducted 25 interviews with product managers and surveyed 300 people working in product management-related roles around the world.