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001 | 00006026 | ||
003 | ES-MaONT | ||
005 | 20220728103336.0 | ||
008 | 200625t2020 ||||fo||||i00| 0 eng d | ||
020 | _a9789284658558 | ||
024 |
_2doi _a10.2861/247 |
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040 | _aES-MaONT | ||
245 | 1 | 0 | _aArtificial intelligence: From ethics to policy |
260 |
_aBrussels _bEuropan Union _c2020 |
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300 | _a37 pág. | ||
336 |
_2isbdcontent _atexto |
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337 |
_2isbdmedia _ainformático |
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338 |
_2rdacarrier _arecurso en línea |
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520 | _aThere is little doubt that artificial intelligence (AI) and ma ch inelearning (ML) will revolutionise public services. However, th e p ower for positive change that AI provides simultaneously holds the potential for negative impacts on society. AI ethics work to uncover the variety of ethical issues resulting from the design, development, and deployment of AI. The question at the centre of all current work in AI ethics is: How can we move from AI ethics to specific policy and legislation for governing AI? Based on a framing of 'AI as a social experiment', this study arrives at policy options for public administrations and governmental organisations who are looking to deploy AI/ML solutions, as well as the private companies who are creating AI/ML solutions for use in the public arena. The reasons for targeting this application sector concern: the need for a high standard of transparency, respect for democratic values, and legitimacy. The policy options presented here chart a path towards accountability; procedures and decisions of an ethical nature are systematically logged prior to the deployment of an AI system. This logging is the first step in allowing ethics to play a crucial role in the implementation of AI for the public good | ||
650 | 0 |
_94348 _aInteligencia Artificial |
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653 | _aAI | ||
653 | _amachine learning | ||
653 | _aML | ||
653 | _apublic services | ||
653 | _apolicies | ||
653 | _agoverning AI | ||
700 |
_a van Wynsberghe, Aimee _94499 |
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710 |
_aParlamento Europeo _95217 |
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856 | 4 | 2 |
_uhttps://www.europarl.europa.eu/RegData/etudes/STUD/2020/641507/EPRS_STU(2020)641507_EN.pdf _x0 _yacceso al documento |
856 | 4 | 2 |
_uhttps://www.europarl.europa.eu/thinktank/en/document.html?reference=EPRS_STU(2020)641507 _x0 _yMás información |
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_2z _cINF |