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Introduction to AI and Public Policy

The “Introduction to AI and Public Policy” webinar session featured the following speakers and topics:

  • Danielle Allen (Harvard): AI and Democracy
  • Sandy Pentland (MIT): A Practical Framework for Data and AI systems for Regulators
  • Shayne Longpre (MIT): A Primer in Large Language Models
  • Gabriele Mazzini (European Commission): Overview of the EU AI Act

By:

Programs

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

Issues

Democracy and AI

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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.

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

Open Access Resource

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.

AI & Democracy: Perspectives from an Emerging Field

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AI & Democracy: Perspectives from an Emerging Field

The Allen Lab is proud to have contributed to this timely landscape report from The David & Lucile Packard Foundation mapping the emerging field of AI and democracy.