Artificial Intelligence Ethics Guidelines for Developers and Users: Clarifying their Content and Normative Implications.
There has been a significant amount of research done on the ethical consequences of artificial intelligence (AI). This is reflected by the works published across academia, policy and the media. Many of these aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidelines are based. Despite this convergence, it is not always clear how these principles are to be translated into practice. 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 normative content that is covered by these principles. The outcome is a comprehensive compilation of normative requirements arising from existing guidance documents. This is required for a deeper theoretical understanding of AI ethics, but also for the creation of practical and implementable guidance for developers and users of AI.
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Citation : Ryan, M.; Stahl, B.C. (2020). Artificial Intelligence Ethics Guidelines for Developers and Users: Clarifying their Content and Normative Implications. Journal of Information, Communication & Ethics in Society, https://doi.org/10.1108/JICES-12-2019-0138
ISSN : 1477-996X
Research Institute : Centre for Computing and Social Responsibility (CCSR)
Peer Reviewed : Yes