Algorithmic bias: addressing growing concerns
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 p...
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| Format: | Article |
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IEEE
2017
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| Online Access: | https://eprints.nottingham.ac.uk/44207/ |
| _version_ | 1848796862584193024 |
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| author | Koene, Ansgar |
| author_facet | Koene, Ansgar |
| author_sort | Koene, Ansgar |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:54:44Z |
| format | Article |
| id | nottingham-44207 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:54:44Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-442072020-05-04T18:49:33Z https://eprints.nottingham.ac.uk/44207/ Algorithmic bias: addressing growing concerns Koene, Ansgar 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. IEEE 2017-06-13 Article PeerReviewed Koene, Ansgar (2017) Algorithmic bias: addressing growing concerns. IEEE Technology and Society Magazine, 36 (2). pp. 31-32. ISSN 0278-0097 Algorithm theory Ethical aspects IEEE standards http://ieeexplore.ieee.org/document/7947257/ doi:10.1109/MTS.2017.2697080 doi:10.1109/MTS.2017.2697080 |
| spellingShingle | Algorithm theory Ethical aspects IEEE standards Koene, Ansgar Algorithmic bias: addressing growing concerns |
| title | Algorithmic bias: addressing growing concerns |
| title_full | Algorithmic bias: addressing growing concerns |
| title_fullStr | Algorithmic bias: addressing growing concerns |
| title_full_unstemmed | Algorithmic bias: addressing growing concerns |
| title_short | Algorithmic bias: addressing growing concerns |
| title_sort | algorithmic bias: addressing growing concerns |
| topic | Algorithm theory Ethical aspects IEEE standards |
| url | https://eprints.nottingham.ac.uk/44207/ https://eprints.nottingham.ac.uk/44207/ https://eprints.nottingham.ac.uk/44207/ |