Algorithmic impact assessment
: a case study in healthcareAutor(es):
Ada Lovelace Institute
Editor: London : Ada Lovelace Institute, February 2022Descripción: 119 p. : gráf. ; 1 documento PDFTipo de contenido: texto (visual) Tipo de medio: electrónico
Tipo de soporte: recurso en líneaISBN: 978-1-8382567-9-1Tema(s): Sanidad digital
| Inteligencia Artificial | tecnologías | IA | algoritmos | datos | saludRecursos en línea: 
Acceso al documento Resumen: 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.
| Tipo de ítem | Ubicación actual | Colección | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
Informes
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CDO
El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital.
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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.
This document is published
under a creative commons licence: CC-BY-4.0
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