MIT Internet Policy Research Initiative

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

Democracy, Disinformation, AI, and Platform Regulation

On January 27, 2021, The CSAIL Computing and Society CoR and the MIT Internet Policy…

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1/27/2021: IAP Workshop on Democracy, Disinformation, AI, and Platform Regulation

January 27th 2021 | 2:00 p.m. – 4:00 p.m. | Zoom The Internet has transformed…

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IAP January 2020: AI Technology, Policy, and Society: Priorities, Opportunities, and Trade-Offs

This seminar will explore the current alignment of AI Technology, Public Policy, and Society with…

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9/25/19: TALK: Digitalisation and European Welfare States

Join us on September 25, 2019 at 2:00 p.m. in 32-D463 to hear J. Scott…

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1/15/19: 2019 MIT AI Policy Congress

The inaugural MIT AI Policy Congress occurred on January 15, 2019 when experts from industry,…

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3/23/17: Julia Angwin Discusses Algorithmic Accountability

On 23 March 2017 (Thursday), MIT’s Internet Policy Research Initiative hosted ProPublica’s Julia Angwin for a…

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10/21/15: Cost-benefit Analysis of Data Intelligence

All data intelligence processes are designed for processing a finite amount of data within a…

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Avoiding a One-Size-Fits-All Approach to Regulating Artificial Intelligence

Artificial intelligence (AI) technologies can be found in a wide variety of areas nowadays. AI…

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How a Proposed Housing Act Change Could Affect Discriminatory AI

Since its introduction in 1968, the Fair Housing Act has shielded proctected classes from discrimination….

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The AI Policy Team

AI Policy Events