: a case study in healthcare Ada Lovelace Institute creator text technical report xxk London Ada Lovelace Institute February 2022 2022 monographic eng

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pdf 119 p. : gráf. ; 1 documento PDF 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. specialized Bibliografía: p. 107-117 This document is published under a creative commons licence: CC-BY-4.0 Sanidad digital Inteligencia Artificial tecnologías IA algoritmos datos salud pdf 978-1-8382567-9-1 https://www.adalovelaceinstitute.org/report/algorithmic-impact-assessment-case-study-healthcare/ https://www.adalovelaceinstitute.org/report/algorithmic-impact-assessment-case-study-healthcare/ This document is published under a creative commons licence: CC-BY-4.0 ES-MaONT 220210 20220210130135.0 00006953