Conference Paper/Proceeding/Abstract 27 views
Designing for Situated AI-Human Decision Making: Lessons Learned from a Primary Care Deployment
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Darren Scott ,
Matt Roach ,
Emily Nielsen ,
Bertie Muller
Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024., Volume: 3701
Swansea University Authors:
Ben Wilson , Matt Roach , Bertie Muller
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Abstract
We present a case study of AI deployment in a UK primary care (family doctor) setting. This demonstrates some of the challenges of real-world deployment of AI-human systems for decision-making. We use the seven domains of the NASSS (nonadoption, abandonment, scale-up, spread, and sustainability) fra...
| Published in: | Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024. |
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| ISSN: | 1613-0073 |
| Published: |
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67653 |
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| Abstract: |
We present a case study of AI deployment in a UK primary care (family doctor) setting. This demonstrates some of the challenges of real-world deployment of AI-human systems for decision-making. We use the seven domains of the NASSS (nonadoption, abandonment, scale-up, spread, and sustainability) framework to structure the presentation of our evaluation. We highlight three key lessons that should inform not only future deployments and evaluations, but future design work itself. The lessons are to attend to wider impacts, incorporate quality improvement and quality assurance techniques and employ participatory design, iterative development and formative evaluation. |
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| College: |
Faculty of Science and Engineering |