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Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare

Adriane Chapman Orcid Logo, Chloe L Harrison Orcid Logo, Caroline Jones Orcid Logo, James Thornton Orcid Logo, Rose Worley, Jeremy C. Wyatt Orcid Logo

Companion Proceedings of the ACM on Web Conference 2024

Swansea University Authors: Caroline Jones Orcid Logo, Rose Worley

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DOI (Published version): 10.1145/3589335.3651455

Abstract

As AI systems are built and deployed to support mental health services, it is imperative to fully understand the stakeholder acceptability of such systems so that these concerns can be taken into account in system design. As such, we undertook a consultation with staff (therapists) and service-users...

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Published in: Companion Proceedings of the ACM on Web Conference 2024
ISBN: 979-8-4007-0172-6 979-8-4007-0172-6
Published: New York, NY, USA ACM 2024
URI: https://cronfa.swan.ac.uk/Record/cronfa65841
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Abstract: As AI systems are built and deployed to support mental health services, it is imperative to fully understand the stakeholder acceptability of such systems so that these concerns can be taken into account in system design. As such, we undertook a consultation with staff (therapists) and service-users at Adferiad Recovery (a large mental health charity). The aim was to capture insights about their understanding of trust, and different trust factors for AI in mental health care. Surveys, interviews and focus groups were conducted with service users and therapists. Key takeaways for computer scientists and the developers of AI systems are presented.
Keywords: AI, Mental Health, Accessibility, Equity
College: Faculty of Humanities and Social Sciences
Funders: British Academy and Leverhulme Trust, NIHR Southampton Biomedical Research Centre (SG2122\210037)

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