2022
DOI: 10.1007/s13347-022-00591-7
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To Each Technology Its Own Ethics: The Problem of Ethical Proliferation

Abstract: Ethics plays a key role in the normative analysis of the impacts of technology. We know that computers in general and the processing of data, the use of artificial intelligence, and the combination of computers and/or artificial intelligence with robotics are all associated with ethically relevant implications for individuals, groups, and society. In this article, we argue that while all technologies are ethically relevant, there is no need to create a separate ‘ethics of X’ or ‘X ethics’ for each and every su… Show more

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Cited by 27 publications
(9 citation statements)
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“…The study offers a comprehensive overview for scholars, practitioners, or policymakers, condensing the ethical debates surrounding fairness, safety, harmful content, hallucinations, privacy, interaction risks, security, alignment, societal impacts, and others. We discuss the results, evaluate imbalances in the literature, and explore unsubstantiated risk scenarios.Keywords -generative artificial intelligence, large language models, image generation models, ethics being inefficient, useless, or whitewashing [11][12][13][14] ; it became increasingly transferred into proposed legal norms like the AI Act of the European Union 15,16 ; and it became accompanied by two new fields dealing with technical and theoretical issues alike, namely AI alignment and AI safety 17,18 . Both domains have a normative grounding and are devoted to preventing harm or even existential risks stemming from generative AI systems.On the technical side of things, variational autoencoders 19 , flow-based generative models 20,21 , or generative adversarial networks 22 were early successful generative models, supplementing discriminatory machine learning architectures.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…The study offers a comprehensive overview for scholars, practitioners, or policymakers, condensing the ethical debates surrounding fairness, safety, harmful content, hallucinations, privacy, interaction risks, security, alignment, societal impacts, and others. We discuss the results, evaluate imbalances in the literature, and explore unsubstantiated risk scenarios.Keywords -generative artificial intelligence, large language models, image generation models, ethics being inefficient, useless, or whitewashing [11][12][13][14] ; it became increasingly transferred into proposed legal norms like the AI Act of the European Union 15,16 ; and it became accompanied by two new fields dealing with technical and theoretical issues alike, namely AI alignment and AI safety 17,18 . Both domains have a normative grounding and are devoted to preventing harm or even existential risks stemming from generative AI systems.On the technical side of things, variational autoencoders 19 , flow-based generative models 20,21 , or generative adversarial networks 22 were early successful generative models, supplementing discriminatory machine learning architectures.…”
mentioning
confidence: 99%
“…Keywords -generative artificial intelligence, large language models, image generation models, ethics being inefficient, useless, or whitewashing [11][12][13][14] ; it became increasingly transferred into proposed legal norms like the AI Act of the European Union 15,16 ; and it became accompanied by two new fields dealing with technical and theoretical issues alike, namely AI alignment and AI safety 17,18 . Both domains have a normative grounding and are devoted to preventing harm or even existential risks stemming from generative AI systems.…”
mentioning
confidence: 99%
“…It may also be argued that bioethics has many diverse tasks, 40 for example, to describe or explore ethical issues, make normative judgments (based on broad assessment), to argue for specific solutions, 41 or to reflect on basic moral concepts. Accordingly, it could be argued that there is no clear or uniting methodology for all these tasks, but rather well-established methodologies within the various tasks of bioethics.…”
Section: Diversity Of Tasksmentioning
confidence: 99%
“…Yet, ethics-based approaches to technology are criticised for being prone to ethics washing (Floridi, 2019, pp. 187-188;Metzinger, 2019), and vulnerable to a proliferation of overlapping ethics frameworks (Saetra & Danaher, 2022). Relevant principles, even if based on the content of fundamental rights (Smuha, 2019, p. 101;AI HLEG, 2019) are unenforceable (Hagendorff, 2020, p. 99).…”
Section: Legal Measures To Support Compliancementioning
confidence: 99%