AI Policy

The AI Policy group focuses on increasing the trustworthiness of artificial intelligence (AI) and machine learning (ML) systems by enhancing their explainability and accountability. Current research topics include the role of AI in financial decision making, working with stakeholders on AI principles, and policy to increase access to new training data sets.

One example of the importance of this work is with autonomous vehicles. If we want users to trust the cars they are in and feel comfortable and willing to relinquish control, autonomous subsystems will have to be able to explain why they took certain actions and show that they can be accountable for errors. Explanations will have to be simple enough for users to understand, even when subject to cognitive distractions.

In response to this, our machine understanding work explores techniques for enabling autonomous systems to explain themselves by generating coherent symbolic representations of the relevant antecedents of significant events in the course of driving.

Read AI Policy News and Blog Posts

Neural Networks and the Lottery Ticket Hypothesis

Deep neural networks, computer systems loosely modeled after the human brain, are found in the…

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News: Global Cooperation in the White House Sparked by AI and Privacy Concerns

In a recent New York Times article, Steve Lohr discusses U.S. and global policy regarding…

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AI Policy Congress – Part 7 An International Perspective

Written by Grace Abuhamad. The AI Policy Congress benefitted from a unique international perspective as…

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AI Policy Congress – Part 6 Manufacturing & Labor

Written by Willie Boag Technology’s Past, Present, and Future Impact on Work Is the diffusion…

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AI Policy Congress – Part 5 Transportation & Safety

Written by Grace Abuhamad. The Current State of Autonomous Vehicles “Level 5 autonomy or flying…

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AI Tool Builders and Their Users: What Should We Expect From the Tools and Who Is Responsible When They Fail?

Written by: Daniel J. Weitzner February 19, 2019 In the midst of a heated global…

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AI Policy Congress – Part 4 Criminal Justice & Fairness

Written by Nicolas Rothbacher. The Application of AI in Criminal Justice How the application of…

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AI Policy Congress – Part 3 Healthcare

Written by Willie Boag Improving Healthcare with AI Technology During her research presentation on bringing…

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AI Policy Congress – Part 2 Democratizing AI through Transparency and Education

Written by Natalie Lao Demystifying Machine Learning for Regulators On Wednesday, January 16, Professor Hal…

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The AI Policy Team

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