Algorithmic bias: addressing growing concerns

Koene, Ansgar

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.

Citation

Koene, A. (2017). Algorithmic bias: addressing growing concerns. IEEE Technology and Society Magazine, 36(2), 31-32. https://doi.org/10.1109/MTS.2017.2697080

• Journal Article Type: Article
• Acceptance Date: May 15, 2017
• Publication Date: Jun 13, 2017
• Deposit Date: Jul 18, 2017
• Publicly Available Date: Jul 18, 2017
• Journal: IEEE Technology and Society Magazine
• Electronic ISSN: 0278-0097
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 36
• Issue: 2
• Pages: 31-32
• DOI: https://doi.org/10.1109/MTS.2017.2697080
• Keywords: Algorithm theory, Ethical aspects, IEEE standards
• Public URL: https://nottingham-repository.worktribe.com/output/865354
• Publisher URL: http://ieeexplore.ieee.org/document/7947257/
• 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.