Cooperative Machine Intelligence for People-Aligned Safe Systems

Developing safe, aligned, and steerable AI agents with emphasis on security, human aspects, and cooperative multi-agent systems.

The COMPASS group investigates how to build AI systems that are safe, aligned with human values, and robust against adversarial manipulation. We work on broad topics on A(G)I safety and security, including: interpretability, reasoning, evals, contextual integrity, agentic risks and opportunities, multi-agent dynamics, agents with long-term memory, self-improving agents, (deceptive) alignment, situational awareness, manipulation and deception.

People

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Katharina Deckenbach

Ph. D. Student
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Yasmine Kaced

Intern
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Abhinav Kumar

Intern
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Haritz Puerto

Postdoctoral Researcher
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Luca Scionis

Intern
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Johannes Taraz

Ph. D. Student