WG 7 Hostile-to-life Environments

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The working group focuses on the requirements and technologies for the application of self-learning systems in difficult-to-access and dangerous environments. It also addresses issues related to the transparency of such systems and the decision-making power of human individuals.

Jürgen Beyerer

Karlsruhe Institute of Technology (KIT)

Frank Kirchner

University of Bremen

Key questions for the working group

  • Which avail do self-learning systems have in hostile-to-life environments for individuals and society?
  • How does adaptation and compensation for function- and subsystems failures work in those environments?
  • How does autonomous learning succeed in long-term remote (autonomous) systems?
  • How can the systems learn from sparse data in unique situations (keyword: incremental learning)?
  • How can skills and generalized learning (inductive learning) be transferred?
  • Which challenges can occur when AI is used against humans (keyword: dual-use)?