Toward Explainable AI

  • Date: Feb 17, 2020
  • Time: 04:00 PM (Local Time Germany)
  • Speaker: Klaus-Robert Müller
  • TU Berlin and Max Planck School of Cognition
  • Location: MPI
  • Room: Basement

The talk will first provide a gentle introduction into Machine Learning/Big Data and AI Technology. Then novel developments of explainable AI are introduced and discussed in the context of scientific applications where recently Machine Learning has been used more and more as a tool for scientific discovery and insight. Finally, if time permits, the 2018 Leopoldina Statement on Big Data and Privacy will be discussed.

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