Zelun Tony Zhang, Nick Von Felten, et al.
CHI 2026
The increasing integration of generative AI into work has amplified issues of disclosure, ownership, and accountability, including whether and how to acknowledge AI use, who owns AI-generated or co-created work, and who is accountable for risks. In response, governments, organizations, and researchers are introducing new policies, guidelines, and methods for enhanced transparency. However, the complex interplay between multiple stakeholders and technologies, coupled with growing AI agency, continues to spark debates about ownership and accountability of co-created work, leading to open questions about whether, when, and how to disclose and attribute human-AI co-created work. To address these emergent issues, this workshop aims to gather interdisciplinary researchers, practitioners, and experts to discuss key questions from law, technology, design, and HCI research standpoints, with the ultimate goal of promoting responsible generative AI use for work.
Zelun Tony Zhang, Nick Von Felten, et al.
CHI 2026
Miriam Rateike, Brian Mboya, et al.
DLI 2025
Shengwei An, Sheng-Yen Chou, et al.
AAAI 2024
Jung koo Kang
NeurIPS 2025