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Chapman, A., Harrison, C.L., Jones, C., Thornton, J. 
ORCID: 0000-0001-7847-5696, Worley, R. and Wyatt, J.C.,
2024.
Sociotechnical considerations for accessibility and equity in AI for healthcare.
In:
WWW'24: companion proceedings of the ACM Web Conference 2024.
New York: Association for Computing Machinery, pp. 1158-1161.
ISBN 9798400701726
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.
| Item Type: | Chapter in book | ||||||
|---|---|---|---|---|---|---|---|
| Description: | Paper presented at WWW'24: the ACM Web Conference 2024, Singapore, 13-17 May 2024. | ||||||
| Creators: | Chapman, A., Harrison, C.L., Jones, C., Thornton, J., Worley, R. and Wyatt, J.C. | ||||||
| Publisher: | Association for Computing Machinery | ||||||
| Place of Publication: | New York | ||||||
| Date: | 13 May 2024 | ||||||
| ISBN: | 9798400701726 | ||||||
| Identifiers: |
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| Divisions: | Schools > Nottingham Law School | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 10 Jul 2024 09:54 | ||||||
| Last Modified: | 10 Jul 2024 09:54 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/51734 |
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