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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.

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India & the Olympics of AI

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Allen Lab Fellow Jeremy McKey reflects on India’s AI Impact Summit, exploring the theme of diffusion and the implications for sovereignty and democracy.

Transparency is Insufficient: Lessons From Civic Technology for Anticorruption

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Transparency is Insufficient: Lessons From Civic Technology for Anticorruption

Allen Lab Researcher David Riveros Garcia draws on his experience building civic technology to fight corruption in Paraguay to make the case that effective civic technology must include power and collective action in its design.