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AI Safety

As AI systems become increasingly powerful and integrated into critical aspects of society, ensuring they behave safely and reliably has never been more important. AI Safety is the interdisciplinary field focused on minimizing risks associated with AI, from algorithmic bias and system failures to the long-term challenges posed by advanced autonomous agents.

In this seminar, we will explore the key technical, ethical, and societal issues related to AI safety. Topics include value alignment, robustness, and the governance of powerful AI systems. By the end of the seminar, students will gain a foundational understanding of how to assess and mitigate risks, design safer AI systems, and contribute to responsible AI development.

 

Logistics:

Time: Tuesday 2pm - 4pm

Location: TBD

TAs:

  • Ziqing Yang (ziqing.yang@cispa.de)
  • Yihan Ma
  • Bo Shao

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