Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262)

Authors Wendy E. Mackay, John Shawe-Taylor, Frank van Harmelen and all authors of the abstracts in this report

Thumbnail PDF


  • Filesize: 1.6 MB
  • 6 pages

Document Identifiers

Author Details

Wendy E. Mackay
  • INRIA Saclay - Orsay, FR
John Shawe-Taylor
  • University College London, GB
Frank van Harmelen
  • VU University Amsterdam, NL
and all authors of the abstracts in this report

Cite AsGet BibTex

Wendy E. Mackay, John Shawe-Taylor, and Frank van Harmelen. Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262). In Dagstuhl Reports, Volume 12, Issue 6, pp. 112-117, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


This report documents the program and the outcomes of Dagstuhl Perspectives Workshop 22262 "Human-Centered Artificial Intelligence". The goal of this Dagstuhl Perspectives Workshops is to provide the scientific and technological foundations for designing and deploying hybrid human-centered AI systems that work in partnership with human beings and that enhance human capabilities rather than replace human intelligence. Fundamentally new solutions are needed for core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems and to facilitate meaningful interaction between humans and AI systems. Specific challenges include: learning complex world models; building effective and explainable machine learning systems; developing human-controllable intelligent systems; adapting AI systems to dynamic, open-ended real-world environments (in particular robots and autonomous systems); achieving in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

Subject Classification

ACM Subject Classification
  • Human-centered computing → Human computer interaction (HCI)
  • Human-centered computing → Interaction design
  • Mathematics of computing → Probability and statistics
  • Theory of computation → Probabilistic computation
  • Theory of computation → Automated reasoning
  • Theory of computation → Constraint and logic programming
  • Theory of computation → Machine learning theory
  • Theory of computation → Algorithmic game theory and mechanism design
  • Computing methodologies → Artificial intelligence
  • Computing methodologies → Machine learning
  • Human-centered Artificial Intelligence
  • Human-Computer Interaction
  • Hybrid Intelligence


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads