TY - JOUR
T1 - Artificial Intelligence as a Feedback Teammate for Treatment Delivery
T2 - Cognitive Behavioral Therapists’ Hopes and Fears
AU - Moran, Lauren H.
AU - Kee, Sadie C.
AU - Wiese, Christopher W.
AU - Arriaga, Rosa I.
AU - Abdullah, Saeed
AU - Sherrill, Andrew M.
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025
Y1 - 2025
N2 - In response to the gap in mental healthcare access, research across multiple disciplines has increasingly considered the application of artificial intelligence (AI) in mental health work. Despite the important role of clinicians in this discussion, relatively little attention has been given to their perspectives. To better understand clinicians’ views within a therapy that is better suited for integration with AI than others, we conduct a qualitative survey of 84 self-identified cognitive behavioral therapy practitioners. We focus on clinicians’ reactions to a specific form of AI teammate that is designed to serve as a bidirectional feedback partner in clinical settings. We find that though respondents are concerned about a diverse range of potential issues (e.g. maintaining confidentiality and privacy, receiving poor feedback), they are also optimistic about certain features and possible outcomes of the teammate (e.g. helping to alleviate the time commitment of supervising trainees). Our findings inform future research on AI teammates in mental health.
AB - In response to the gap in mental healthcare access, research across multiple disciplines has increasingly considered the application of artificial intelligence (AI) in mental health work. Despite the important role of clinicians in this discussion, relatively little attention has been given to their perspectives. To better understand clinicians’ views within a therapy that is better suited for integration with AI than others, we conduct a qualitative survey of 84 self-identified cognitive behavioral therapy practitioners. We focus on clinicians’ reactions to a specific form of AI teammate that is designed to serve as a bidirectional feedback partner in clinical settings. We find that though respondents are concerned about a diverse range of potential issues (e.g. maintaining confidentiality and privacy, receiving poor feedback), they are also optimistic about certain features and possible outcomes of the teammate (e.g. helping to alleviate the time commitment of supervising trainees). Our findings inform future research on AI teammates in mental health.
UR - https://www.scopus.com/pages/publications/105013107254
UR - https://www.scopus.com/pages/publications/105013107254#tab=citedBy
U2 - 10.1016/j.cbpra.2025.06.007
DO - 10.1016/j.cbpra.2025.06.007
M3 - Article
AN - SCOPUS:105013107254
SN - 1077-7229
JO - Cognitive and Behavioral Practice
JF - Cognitive and Behavioral Practice
ER -