Aleksander Mądry

Aleksander Mądry is the Cadence Design Systems Professor of Electrical Engineering and Computer Science at MIT, affiliated with the MIT Schwarzman College of Computing. He co-chairs the AI Policy Forum, an initiative addressing societal challenges of AI through actionable policy solutions. His research focuses on AI robustness, machine learning theory, and ethical AI deployment, with contributions to adversarial examples, trustworthy AI systems, and policy frameworks for AI governance. Mądry’s work bridges technical innovation and societal implications, emphasizing collaboration across academia, industry, and government.

• Roles: Faculty member, AI Policy Forum co-chair, MIT EECS department
• Education: Not explicitly detailed in provided texts

Research interests include adversarial machine learning, AI policy, and foundational ML theory. His recent work explores AI supply chains, data-driven model debugging (Datamodels), and mitigating biases in AI systems. He advocates for regulatory frameworks ensuring AI’s societal benefit while addressing risks like misinformation, financial algorithmic transparency, and social media governance.

Key collaborations involve policymakers and tech leaders to shape global AI policy. His contributions to AI robustness and ethical guidelines have influenced both technical and regulatory communities.