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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
- 제목
- Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics
- 저자
- Choi, Jaesik; Han, Bo Hyung; Koo, Myoung Wan; Bae, Kyung man; Yoo, Chang D.; Woo, Simon S; Samek, Wojciech
- 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