The ethics of algorithms: key problems and solutions

被引:140
|
作者
Tsamados, Andreas [1 ]
Aggarwal, Nikita [1 ,3 ]
Cowls, Josh [1 ,2 ]
Morley, Jessica [1 ]
Roberts, Huw [1 ]
Taddeo, Mariarosaria [1 ,2 ]
Floridi, Luciano [1 ,2 ]
机构
[1] Univ Oxford, Oxford Internet Inst, 1 St Giles, Oxford OX1 3JS, England
[2] British Lib, Alan Turing Inst, 96 Euston Rd, London NW1 2DB, England
[3] Univ Oxford, Fac Law, St Cross Bldg,St Cross Rd, Oxford OX1 3UL, England
关键词
Algorithm; Artificial intelligence; Autonomy; Digital ethics; Explainability; Fairness; Machine learning; Privacy; Responsibility; Transparency; Trust; ARTIFICIAL-INTELLIGENCE; BIG DATA; PRIVACY; BIAS; TRANSPARENCY; LIMITATIONS; CHALLENGES; AI;
D O I
10.1007/s00146-021-01154-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mittelstadt et al. Big Data Soc 3(2), 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms.
引用
收藏
页码:215 / 230
页数:16
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