000			01850nam a22003497a 4500
001			00006953
003			ES-MaONT
005			20220210130135.0
008			220210s2022 xxk |||f t||| 00| 0 eng d
020			_a978-1-8382567-9-1
040			_aES-MaONT
110			_94427 _aAda Lovelace Institute
245	1	0	_aAlgorithmic impact assessment _b: a case study in healthcare
260			_aLondon : _bAda Lovelace Institute, _cFebruary 2022
300			_a119 p. _b: gráf. _c; 1 documento PDF
336			_atexto (visual) _2isbdcontent
337			_aelectrónico _2isbdmedia
338			_arecurso en línea _2rdacarrier
504			_aBibliografía: p. 107-117
520			_aThis 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.
540			_aThis document is published under a creative commons licence: CC-BY-4.0
650		7	_aSanidad digital _92065
650		0	_aInteligencia Artificial _94348
653			_atecnologías
653			_aIA
653			_aalgoritmos
653			_adatos
653			_asalud
856	4	2	_uhttps://www.adalovelaceinstitute.org/report/algorithmic-impact-assessment-case-study-healthcare/ _x0 _yAcceso al documento _qpdf
942			_2udc _cINF
999			_c6953 _d6953