Commentary
Tech Policy that (Actually) Serves the People
Allen Lab for Democracy Renovation Fellow Ami Fields-Meyer lays out research questions for developing a new U.S. tech policy agenda that puts people first.
Video
Optimizing for What? Algorithmic Amplification and Society
GETTING-Plurality Workstream Lead Aviv Ovadya recently discussed his work on bridging systems as part of “Optimizing for What? Algorithmic Amplification and Society.” This two-day symposium at Columbia University’s Knight First Amendment Institute explored algorithmic amplification and distortion as well as potential interventions.
More from this Program
Occasional Paper
The National Security Case for Public AI
Allen Lab for Democracy Renovation Fellow Alex Pascal and Vanderbilt Law Professor Ganesh Sitaraman make the case that public options for AI and public utility-style regulation of AI will enhance national security by ensuring innovation and competition, preventing abuses of power and conflicts of interest, and advancing public interest and national security goals.
Commentary
GETTING-Plurality Public Comment on U.S. AI Safety Institute Guidance
The GETTING-Plurality Research Network recently submitted a public comment on the NIST U.S. AI Safety Institute’s “Managing Misuse Risk for Dual-Use Foundation Models” draft guidance. The full text of the public comment can be found below.
