Work

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

Year: 2025

Type: conference-paper

Abstract: 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.

Source: ACM International Conference on Information and Knowledge Management (CIKM)

DOI: 10.1145/3746252.3761599

Authors: Jaesik Choi, Bohyung Han, Myoung-Wan Koo, Kyungman Bae, Chang D. Yoo, Simon S Woo, Wojciech Samek

Institutions: Korea Advanced Institute of Science and Technology, Seoul National University, Sogang University, Electronics and Telecommunications Research Institute, Sungkyunkwan University, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Technische Universität Berlin

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4416017582

FWCI: 3.357

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Cited by: 3

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