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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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Allen Lab for Democracy Renovation,  Allen Lab: Technology & Democracy

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Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?

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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 in their recently published paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted? in Springer AI & Ethics.