Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics
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.
Authors
- Kyoungman Bae (ORCID: https://orcid.org/0000-0001-9007-4027)
- Bohyung Han (ORCID: https://orcid.org/0000-0003-3099-3616)
- Wojciech Samek (ORCID: https://orcid.org/0000-0002-6283-3265)
- Simon S. Woo (ORCID: https://orcid.org/0000-0002-8983-1542)
- Jaesik Choi (ORCID: https://orcid.org/0000-0002-4663-3263)
- Chang D. Yoo (ORCID: https://orcid.org/0000-0002-0756-7179)
- Myoung‐Wan Koo (ORCID: https://orcid.org/0000-0003-1356-4203)
Institutions
- Seoul National University (KR)
- Electronics and Telecommunications Research Institute (KR)
- Sogang University (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
- Korean Academy of Science and Technology (KR)
- Sungkyunkwan University (KR)
Publication Details
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1145/3746252.3761599
- Citations
- 1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 2.37