2020
DOI: 10.1177/2053951720942541
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AI ethics should not remain toothless! A call to bring back the teeth of ethics

Abstract: Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can achieve and is a great loss to the AI fi… Show more

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Cited by 120 publications
(88 citation statements)
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“…Nonetheless, a significant subset of AI Ethics Principles are addressed to governmental actors, from the 2019 OECD Principles on AI (OECD 2019 ) to the US Defence Innovation Board’s AI Principles adopted by the Department of Defence (DIB 2019 ). Without focussing on any single effort in particular, the aggregate success of many AI Ethics Principles remains limited (Rességuier and Rodriques 2020 ). Clear shifts in governmental policy which can be directly traced back to preceding and corresponding sets of AI Ethics Principles, remain few and far between.…”
Section: Actionable Principlesmentioning
confidence: 99%
“…Nonetheless, a significant subset of AI Ethics Principles are addressed to governmental actors, from the 2019 OECD Principles on AI (OECD 2019 ) to the US Defence Innovation Board’s AI Principles adopted by the Department of Defence (DIB 2019 ). Without focussing on any single effort in particular, the aggregate success of many AI Ethics Principles remains limited (Rességuier and Rodriques 2020 ). Clear shifts in governmental policy which can be directly traced back to preceding and corresponding sets of AI Ethics Principles, remain few and far between.…”
Section: Actionable Principlesmentioning
confidence: 99%
“…Fourth, the principle-focused approach of AI ethics faces problems in its practical implementation, on the one hand with regard to the necessary operationalisation of general principles, and on the other hand, in terms of accountability and guaranteeing the intended effects [7,10,29]. And finally, the unclear relationship between AI ethics and the legal regulation of AI is criticised, which, among other things, leads to AI ethics being misused by powerful corporations to prevent or at least delay legal action [7,29,66,67]. In the following, we discuss these five shortcomings and their relevance to the field of AI ethics.…”
Section: Five Shortcomings Of Current Ai Ethicsmentioning
confidence: 99%
“…The point is that due to its narrow focus AI ethics does not include an integral part of AI systems as developed and employed in society without considering business models, business practices, their potential wider impacts and the general societal context which they are part of. The ultimate danger here is for AI ethics to become ineffective and powerless [66,67,82]. In response to this shortcoming, the challenge is, therefore, to expand AI ethics in such a way that the use and integration of AI systems in business practices and the necessary negotiation of legitimate (optimisation) goals and trade-offs can also adequately be taken into account.…”
Section: Ai Ethics Neglects the Business Context Of Developing And Emmentioning
confidence: 99%
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