MIT Algorithmic Alignment Group
The Algorithmic Alignment Group is a research program within MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), directed by Associate Professor Dylan Hadfield-Menell. The group focuses on the problem of agent alignment — identifying behaviors for AI systems that are consistent with the goals and values of their users and society. Research spans value learning, incentive design, human-AI interaction, robustness, interpretability, red-teaming, and AI governance, with the aim of enabling safe, beneficial, and trustworthy deployment of AI in real-world settings.
Funding Details
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- Fiscal Sponsor
- Massachusetts Institute of Technology
Theory of Change
The group believes that rigorous technical research on AI alignment — covering value learning, robustness, interpretability, and human-AI interaction — will produce concrete algorithmic techniques that can be adopted by AI developers to build safer systems. By identifying failure modes in current approaches (such as reward misspecification and feedback manipulation), developing better evaluation and auditing methods, and contributing to evidence-based AI governance, the group aims to shift how AI systems are designed and deployed. The causal chain runs from foundational research to improved alignment methods to safer AI systems in production, with policy work providing a parallel path to reducing systemic risk from advanced AI.
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Details
- Last Updated
- Apr 2, 2026, 9:59 PM UTC
- Created
- Mar 19, 2026, 10:30 PM UTC