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Panorama Campus Nord mit Mathetower und blauem Himmel © Jürgen Huhn​/​TU Dortmund

Workshop: Epistemological Issues of Machine Learning in Science

Beginn: Ende: Veranstaltungsort: Rudolf-Chaudoire-Pavillon, Baroper Straße 297, 44227 Dortmund
Veran­stal­tungs­art:
  • English Language Events
  • Workshop

With impressive advances in Machine Learning (ML) and particularly deep learning, artificial intelligence is currently taking science by storm. This workshop brings together top scientists and philosophers working on fundamental issues connected to the use of Machine Learning in science.

The workshop marks the launch of the DFG-funded Emmy Noether Group „UDNN: Scientific Understanding and Deep Neural Networks“ led by Assistant Professor Florian Boge. It is co-organized with the Lamarr Institute for Machine Learning and Artificial Intelligence and co-funded by the Department for Humanities and Theology at TU Dortmund University.

 The topics of the workshop include:

  • The relation between prediction and discovery on the one hand, and explanation and understanding on the other, in fields of science that heavily rely on ML methods
  • The key issues in identifying genuine discoveries and stable predictions by ML systems
  • Core conceptions of “explanation” involved in the field of eXplainable AI (XAI), and their relation to philosophical theories of understanding and explanation
  • Present limitations associated with ML’s predictive power and what may be needed to overcome them
  • The connection between ML and traditional scientific means for prediction and discovery, such as theories, models, and experiments
  • Our present understanding of ML itself and its limitations

During the two-day workshop speakers from the fields of life sciences, machine learning theory, philosophy as well as physics and astronomy will be giving talks on topics such as machine learning, deep learning and artificial intelligence. The program of the workshop and a list of all speakers and talks can be found on the event's website.

More Information about the event    More information about the research group

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