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.
Policy Brief
In this short web ethics research brief, the authors unpack and comment on the four-step logic at the core of GETTING-Plurality’s foundational white paper, Ethics of Decentralized Social Technologies: Lessons from Web3, the Fediverse, and Beyond. They outline four assertions from the paper that demonstrate the power and the challenge of web ethics – and above all, the urgency – of placing human flourishing at the center of technology governance.
Commentary
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.
Occasional Paper
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
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submitted a public comment on the NIST U.S. AI Safety Institute’s “Managing Misuse Risk for Dual-Use Foundation Models” draft guidance.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.
Commentary
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.
Occasional Paper
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
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submitted a public comment on the NIST U.S. AI Safety Institute’s “Managing Misuse Risk for Dual-Use Foundation Models” draft guidance.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.