Video  

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

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The Present — and Future — of Alternatives to Police

Allen Lab Affiliate Benjamin A. Barsky examines alternative emergency response programs — arguing for a democratic model of public safety governance in which responses to nonviolent incidents are shared across government and civil society rather than dominated by police.

India & the Olympics of AI

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India & the Olympics of AI

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

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India & the Olympics of AI

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India & the Olympics of AI

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

The Ecosystem of Deliberative Technologies for Public Input

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The Ecosystem of Deliberative Technologies for Public Input

Ensuring public opinion and policy preferences are reflected in policy outcomes is essential to a functional democracy. A growing ecosystem of deliberative technologies aims to improve the input-to-action loop between people and their governments.

Ethical-Moral Intelligence of AI

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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.