TY - GEN
T1 - Bidirectional Human-AI Alignment
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
AU - Shen, Hua
AU - Knearem, Tiffany
AU - Ghosh, Reshmi
AU - Liu, Michael Xieyang
AU - Monroy-Hernández, Andrés
AU - Wu, Tongshuang
AU - Yang, Diyi
AU - Huang, Yun
AU - Mitra, Tanushree
AU - Li, Yang
AU - Hearst, Marti
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - Recent advancements in general-purpose AI have highlighted the urgent need to align AI systems with the goals, ethical principles, and values of individuals and society. Existing alignment research has been primarily approached as an AI-centered, static, and unidirectional process. However, this unidirectional perspective falls short of taking into account the dynamic and evolving interaction between humans and AI, necessitating a shift toward a bidirectional, interconnected mode of human-AI alignment. This SIG aims to outline the emerging areas of bidirectinoal human-AI alignment research, propose a blueprint of future goals and challenges for fundamental alignment research, and establish a shared platform to bring together experts from HCI, AI, social sciences, and more to advance interdisciplinary research and collaboration on human-AI alignment.
AB - Recent advancements in general-purpose AI have highlighted the urgent need to align AI systems with the goals, ethical principles, and values of individuals and society. Existing alignment research has been primarily approached as an AI-centered, static, and unidirectional process. However, this unidirectional perspective falls short of taking into account the dynamic and evolving interaction between humans and AI, necessitating a shift toward a bidirectional, interconnected mode of human-AI alignment. This SIG aims to outline the emerging areas of bidirectinoal human-AI alignment research, propose a blueprint of future goals and challenges for fundamental alignment research, and establish a shared platform to bring together experts from HCI, AI, social sciences, and more to advance interdisciplinary research and collaboration on human-AI alignment.
KW - bidirectional human-AI alignment
KW - human-AI interactive alignment
KW - social impact of AI alignment
KW - value-centered design
UR - http://www.scopus.com/inward/record.url?scp=105005746377&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105005746377&partnerID=8YFLogxK
U2 - 10.1145/3706599.3716291
DO - 10.1145/3706599.3716291
M3 - Conference contribution
AN - SCOPUS:105005746377
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 26 April 2025 through 1 May 2025
ER -