Algorithmic bias: addressing growing concerns

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Koene, Ansgar (2017) Algorithmic bias: addressing growing concerns. IEEE Technology and Society Magazine, 36 (2). pp. 31-32. ISSN 0278-0097

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Abstract

In the context of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, and with support from its executive director, the author have proposed the development of a new IEEE Standard on Algorithmic Bias Considerations. The aim is for this to become part of a set of ethical design standards, such as the IEEE P7001™ Standards Project called Transparency of Autonomous Systems with a Working Group. Whereas the Transparency of Autonomous Systems Standard will be focused on the important issue of “breaking open the black box” for users and/or regulators, the Algorithmic Bias Standard is focused on “surfacing” and evaluating societal implications of the outcomes of algorithmic systems, with the aim of countering non-operationally-justified results.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/865354
Additional Information: (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Algorithm theory, Ethical aspects, IEEE standards
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1109/MTS.2017.2697080
Depositing User: Koene, Ansgar
Date Deposited: 18 Jul 2017 08:55
Last Modified: 04 May 2020 18:49
URI: https://eprints.nottingham.ac.uk/id/eprint/44207

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