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KI - Künstliche Intelligenz

Interview: AI Expert Prof. Müller on XAI

Or How Far do We have to Go in Order to Get There?

  • 24-11-2022
  • Interview
Published in:
Authors
Johannes Fähndrich
Roman Povalej
Heiko Rittelmeier
Silvio Berner
Published in
KI - Künstliche Intelligenz | Issue 2/2022

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Excerpt

Prof. Dr. Klaus-Robert Müller, a top-cited computer scientist, shares his perspectives on explainable AI (XAI) in an insightful interview. He discusses the importance of XAI in making AI algorithms transparent and trustworthy, particularly in fields like digital forensics. Müller explains the differences between XAI and traditional AI, and highlights the need for XAI to improve the understanding and reliability of AI models. He also touches on the ethical implications of AI in law enforcement and the future of XAI in various scientific domains. The interview provides a comprehensive overview of the current state and future directions of explainable AI, making it a must-read for professionals in the field.
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previous article COMBI: Artificial Intelligence for Computer-Based Forensic Analysis of Persons
next article Correction to: Computational Thinking as a Social Movement
Title
Interview: AI Expert Prof. Müller on XAI
Or How Far do We have to Go in Order to Get There?
Authors
Johannes Fähndrich
Roman Povalej
Heiko Rittelmeier
Silvio Berner
Publication date
24-11-2022
Publisher
Springer Berlin Heidelberg
Published in
KI - Künstliche Intelligenz / Issue 2/2022
Print ISSN: 0933-1875
Electronic ISSN: 1610-1987
DOI
https://doi.org/10.1007/s13218-022-00776-4
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