01850nam a22003497a 4500 00006953 ES-MaONT 20220210130135.0 220210s2022 xxk |||f t||| 00| 0 eng d 978-1-8382567-9-1 ES-MaONT 4427 Ada Lovelace Institute Algorithmic impact assessment : a case study in healthcare London : Ada Lovelace Institute, February 2022 119 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier 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 Sanidad digital 2065 Inteligencia Artificial 4348 tecnologías IA algoritmos datos salud https://www.adalovelaceinstitute.org/report/algorithmic-impact-assessment-case-study-healthcare/ 0 Acceso al documento pdf udc INF 6953 6953 0 0 0 3 1 7902 01 01 2022-02-10 1000020177148 2022-02-10 00:00:00 2022-02-10 INF pdf