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Towards an “Ethics by Design” Methodology for AI Research Projects

d'Aquin, Mathieu; Troullinou, Pinelopi; O'Connor, Noel E.; Cullen, Aindrias; Faller, Gráinne and Holden, Louise (2018). Towards an “Ethics by Design” Methodology for AI Research Projects. In: AIES '18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, ACM, New York pp. 54–59.

DOI (Digital Object Identifier) Link: https://doi.org/10.1145/3278721.3278765
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Abstract

Addressing ethical issues arising from AI research, and by extension from most areas of Data Science, is a core challenge in both the academic and industry worlds. The nature of research and the specific set of technical skills involved imply that AI and Data Science researchers are not equipped to identify and anticipate such issues arising, or to establish solutions at the time a specific research project is being designed. In this paper, we discuss the need for a methodology for ethical research design that involves a broader set of skills from the start of the project. We specifically identify, from the relevant literature, a set of requirements that we argue to be needed for such a methodology. We then explore two case studies where such ethical considerations have been explored in conjunction with the development of specific research projects, in order to validate those assumptions and generalise them into a set of principles guiding an “Ethics by Design” method for conducting AI and Data Science research.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
ISBN: 1-4503-6012-2, 978-1-4503-6012-8
Extra Information: originally presented at AIES '18: the 2018 AAAI/ACM Conference on AI, Ethics, and Society, New Orleans, USA, 2-3 Feb 2018.
Keywords: data ethics; privacy by design; AI ethics; data science ethics; methodology
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 58747
SWORD Depositor: Jisc Publications-Router
Depositing User: Jisc Publications-Router
Date Deposited: 23 Jan 2019 09:05
Last Modified: 08 May 2019 13:36
URI: http://oro.open.ac.uk/id/eprint/58747
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