Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics

  • Choi, Jaesik
  • Han, Bo Hyung
  • Koo, Myoung Wan
  • Bae, Kyung man
  • Yoo, Chang D.
  • 외 2명
Citations

WEB OF SCIENCE

0
Citations

SCOPUS

1

초록

To address the potential risks of AI while supporting innovation and ensuring responsible adoption, there is an urgent need for clear governance frameworks grounded in human-centric values. It is imperative that AI systems operate in ways that are transparent, trustworthy, and ethically sound. Developing truly human-centric AI goes beyond technical innovation. It requires interdisciplinary collaboration and diverse perspectives. This workshop will explore key challenges and emerging solutions in the development of human-centric AI, with a focus on explainability, trustworthiness, fairness, and privacy. We welcome both theoretical contributions and practical case studies that demonstrate how human-centered principles are realized in real-world AI systems. The official workshop webpage is available at https://xai.kaist.ac.kr/Workshop/hcai2025/, which provides comprehensive information about the program. © 2025 Copyright held by the owner/author(s).

키워드

ai ethicsexplainabilityexplainable aifairnesshuman-ai interactionhuman-centered aihuman-centric aiprivacytrustworthinesstrustworthy ai
제목
Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics
저자
Choi, JaesikHan, Bo HyungKoo, Myoung WanBae, Kyung manYoo, Chang D.Woo, Simon SSamek, Wojciech
DOI
10.1145/3746252.3761599
발행일
2025-11-10
유형
Proceedings Paper
저널명
CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management
페이지
6898 ~ 6900