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

Ethical-Moral Intelligence of AI

Occasional Paper

Ethical-Moral Intelligence of AI

In a new working paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted?, Allen Lab authors Sarah Hubbard, David Kidd, and Andrei Stupu introduce an ethical-moral intelligence framework for evaluating AI models across dimensions of moral expertise, sensitivity, coherence, and transparency.

A Framework for Digital Civic Infrastructure

Additional Resource

A Framework for Digital Civic Infrastructure

Creating a healthy digital civic infrastructure ecosystem means not just deploying technology for the sake of efficiency, but thoughtfully designing tools built to enhance democratic engagement from connection to action.

Why I’m Excited About the White House’s Proposal for a Higher Ed Compact
College students throwing graduation caps in the air with an American flag background.

Commentary

Why I’m Excited About the White House’s Proposal for a Higher Ed Compact

Last week’s leak of the U.S. Department of Education’s proposed “Compact for Academic Excellence in Higher Education” drew intense reactions across academia. Critics call it government overreach threatening free expression, while supporters see a chance for reform and renewed trust between universities and policymakers. Danielle Allen, James Bryant Conant University Professor at Harvard University, director of the Democratic Knowledge Project and the Allen Lab for Democracy Renovation, weighs in.