Explainable Artificial Intelligence for human-AI collaboration

J.S. van der Waa

Research output: ThesisDissertation (TU Delft)

1377 Downloads (Pure)

Abstract

As a society, we have come to notice the influence and impact Artificially Intelligent (AI) agents have on the way we live our lives. For these AI agents to support us both effectively and responsibly, we require an understanding on how they make decisions and what the consequences are of these decisions. The research _field of Explainable Artificial Intelligence (XAI) aims to develop AI agents that can explain its own functioning to provide this understanding. In this thesis we defined, developed, and evaluated a core set of explanations an AI agent can provide to support their collaboration with humans.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Neerincx, M.A., Supervisor
  • Jonker, C.M., Supervisor
  • van Diggelen, J., Supervisor, External person
Thesis sponsors
Award date19 Oct 2022
Print ISBNs978-94-6458-619-0
DOIs
Publication statusPublished - 2022

Keywords

  • Artificial Intelligence
  • Explainable AI
  • Machine Learning
  • Human-AI collaboration
  • Explainable Artificial Intelligence

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