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Clarify systems7/14/2023 ![]() To provide this normative account, we start with a brief overview of the current academic and policy-oriented discourse on ethics and AI. It must be made clear here that we are not providing prescriptive recommendations, but rather, are mapping the prescriptive recommendations found in these guidelines. We believe that the paper provides the most comprehensive account of ethical requirements in AI guidelines currently available, which is of interest not only to the research and policy community engaged in the topic but also to the user communities that require guidance when developing or deploying AI systems. In this paper, we therefore provide a detailed explanation of the normative implications of existing AI ethics guidelines but directed towards developers and organisational users of AI. As a consequence, the guidelines that are currently available are often difficult to understand and are written for technical users who constitute one key user group. The reference to particular ethical principles, such as fairness, transparency or sustainability may be a good starting point, but further detail is required that allows AI organisations to think through the implications of these principles for their work.Ī further issue of AI ethics guidelines is that they are aimed at a range of stakeholders: not only policymakers, users and developers but also educators, civil society organisations, industry associations, professional bodies and more. As a consequence, it is difficult for individuals involved in the development or use of AI to determine which ethical issues they should be aware of, how these can present themselves and how they may be addressed. While there is an abundance of AI ethics guidelines, these guidelines remain separate and distinct from one another. Our paper builds upon these foundations and uses their cohesive approach to develop a presentation of the normative content of these ethics guidelines for organisations developing and using AI. While their work provides a comprehensive overview of currently available AI ethics guidelines, their contribution is merely descriptive about these guidelines, rather than discussing the normative content of them. 395) robust categorisation of ethical principles. In this paper, we move beyond the high-level ethical principles that are common across the AI ethics guidance literature and provide a description of the content that is covered by these principles. The quickly growing set of tools that are being developed and provided to address AI ethics are often difficult to map with regards to the categories or principles they could help to address ( Morley et al., 2019). At the same time, the principle-based approach adopted by much of the discourse has been criticised as insufficient in dealing with the practical issues raised by AI ( Mittelstadt, 2019). It has been shown that there is a large degree of convergence in terms of the principles that guidance documents are based on ( Jobin et al., 2019). ![]() The full terms of this licence may be seen at Įthical consequences of artificial intelligence (AI) is a hot topic of debate across academia, policy and general media. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. ![]() Copyright © 2020, Mark Ryan and Bernd Carsten Stahl.
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