Algorithmic impact assessment : a case study in healthcare
Publication details: London : Ada Lovelace Institute, February 2022Description: 119 p. : gráf. ; 1 documento PDFContent type:- texto (visual)
- electrónico
- recurso en línea
- 978-1-8382567-9-1
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CDO | Colección digital | Acceso libre online | 1000020177148 |
Bibliografía: p. 107-117
This report sets out the first-known detailed proposal for the use of an algorithmic impact assessment for data access in a healthcare context – the UK National Health Service (NHS)’s proposed National Medical Imaging Platform (NMIP).
It proposes a process for AIAs, which aims to ensure that algorithmic uses of public-sector data are evaluated and governed to produce benefits for society, governments, public bodies and technology developers, as well as the people represented in the data and affected by the technologies and their outcomes
This includes actionable steps for the AIA process, alongside more general considerations for the use of AIAs in other public and private-sector contexts.
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under a creative commons licence: CC-BY-4.0
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