Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400713958 |
| DOIs | |
| State | Published - Apr 26 2025 |
| Event | 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 - Yokohama, Japan Duration: Apr 26 2025 → May 1 2025 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Conference | 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 |
|---|---|
| Country/Territory | Japan |
| City | Yokohama |
| Period | 4/26/25 → 5/1/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
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