TY - GEN
T1 - Technoskepticism or Justified Caution? The Future of Human-Centered AI in Mental Health Care
AU - Swinger, Nathaniel
AU - Moran, Lauren
AU - Abdullah, Saeed
AU - Wiese, Christopher W.
AU - Lee, Uichin
AU - Tseng, Yuan Chi
AU - Sherrill, Andrew M.
AU - Arriaga, Rosa I.
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - Recent advances in AI provide a unique opportunity to reshape mental health care systems and practices. However, there remains considerable skepticism that AI will positively impact the futures of patients, workers, and technologies. An interdisciplinary approach toward design and development of human-centered AI is necessary, yet discussions about the future of mental health work are often stratified by discipline (e.g., clinical vs. HCI research) or mental health domain (i.e., PTSD, depression, etc.). With this panel, we will bring together HCI, AI, organizational, and clinical researchers and practitioners to focus on the future of patients, workers, and AI-based technology in mental health care. We will discuss current challenges associated with mental health care AI across diverse clinical domains. This panel aims to move toward common ground for the future of human-centered AI in mental health work among those spanning perspectives from technoskepticism to justified caution.
AB - Recent advances in AI provide a unique opportunity to reshape mental health care systems and practices. However, there remains considerable skepticism that AI will positively impact the futures of patients, workers, and technologies. An interdisciplinary approach toward design and development of human-centered AI is necessary, yet discussions about the future of mental health work are often stratified by discipline (e.g., clinical vs. HCI research) or mental health domain (i.e., PTSD, depression, etc.). With this panel, we will bring together HCI, AI, organizational, and clinical researchers and practitioners to focus on the future of patients, workers, and AI-based technology in mental health care. We will discuss current challenges associated with mental health care AI across diverse clinical domains. This panel aims to move toward common ground for the future of human-centered AI in mental health work among those spanning perspectives from technoskepticism to justified caution.
UR - https://www.scopus.com/pages/publications/105005753076
UR - https://www.scopus.com/pages/publications/105005753076#tab=citedBy
U2 - 10.1145/3706599.3716286
DO - 10.1145/3706599.3716286
M3 - Conference contribution
AN - SCOPUS:105005753076
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
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
Y2 - 26 April 2025 through 1 May 2025
ER -
