The Social Architecture of Human-AI Collaboration: Understanding Barriers to Mental Health AI Implementation
This is a virtual seminar. For a Zoom link, please see "Venue details". Please consider subscribing to mailing list: web.maillist.ox.ac.uk/ox/subscribe/ai4mch
Despite the promising potential of artificial intelligence (AI) in mental healthcare, practitioners and researchers consistently identify resistance to adoption as a critical bottleneck in implementing these technologies. This resistance manifests across the mental healthcare ecosystem, with both practitioners and clients expressing varying degrees of hesitation to integrate AI-based solutions. Prior research has framed this phenomenon as algorithm aversion – a preference for human over AI decision-making, even when AI demonstrates superior performance. However, in this talk, I argue that current research has failed to fully explain AI adoption barriers due to two critical gaps: the absence of a robust theoretical framework and insufficient attention to the social-relational contexts in which AI systems are deployed. The first part of this talk demonstrates how the lack of a theoretical framework has led researchers to misidentify or overemphasize certain adoption barriers while overlooking others. The second part presents a novel framework for understanding AI adoption through a social-relational lens, offering a more nuanced approach to studying and addressing implementation challenges in mental healthcare settings.
Date:
4 February 2025, 15:00
Venue:
https://zoom.us/j/92860307789?pwd=iAdkC3QG1wQ8yvbuOBFTibGofmszPY.1
Speaker:
Dr Andreas Kappes (City, University of London)
Organising department:
Department of Psychiatry
Organiser:
Dr Andrey Kormilitzin (University of Oxford)
Organiser contact email address:
andrey.kormilitzin@psych.ox.ac.uk
Host:
Dr Andrey Kormilitzin (University of Oxford)
Part of:
Artificial Intelligence for Mental Health Seminar Series
Booking required?:
Not required
Booking url:
https://web.maillist.ox.ac.uk/ox/info/ai4mch
Booking email:
andrey.kormilitzin@psych.ox.ac.uk
Audience:
Public
Editor:
Andrey Kormilitzin
