
A newsletter from MIT & Harvard researchers on regulating AI technologies.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 18 | Subscribers | Read | aipolicy.substack.com |
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> We’ve talked about AI supply chains in the past. Today, we’ll consider AI value chains, discussing what distinguishes supply chains from value chains to argue why the choice of terminology matters for both research and policy.
How do we ensure that an AI system complies with the law or even does what it claims to do? Checking whether an AI system satisfies certain predetermined criteria falls under the umbrella of AI auditing. Although many agree that auditing is...
AI is increasingly used to make decisions. Typically, an AI system provides information that a human uses to then make a decision or perform a task. In this first post of our AI Accountability & Transparency series, we explore how the infor...
Every technology brings unforeseen, sometimes harmful, consequences. AI is no different. It’s a transformative technology that has already demonstrated that it can both help and hurt us. In cases when AI causes harm, we may be interested in...
The writers behind this newsletter.
Ph.D. student in Computer Science at MIT, working at the intersection of machine learning theory and AI ethics.
PhD student at MIT studying machine learning robustness.
MIT faculty. Working on making machine learning better understood and more reliable.
CS PhD student @ MIT CSAIL advised by Aleksander Madry. Working on ML, HCI, and policy.
Senior Lecturer at MIT Sloan. Director, MIT AI Policy for the World Project, Co-lead MIT AI Policy Forum.
MEng @MIT CSAIL in the Mądry Lab
Assistant Professor at the Tuck School of Business at Dartmouth College
J.D. Candidate at Harvard Law School
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