Koshiyama, A;
Kazim, E;
Treleaven, P;
(2022)
Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms.
Computer
, 55
(4)
pp. 40-50.
10.1109/MC.2021.3067225.
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owards Algorithm Auditing A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms.pdf - Other Download (1MB) | Preview |
Abstract
Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about their algorithms causing major financial or reputational damage. A new industry is envisaged: auditing and assurance of algorithms with the remit to validate artificial intelligence, machine learning, and associated algorithms.
| Type: | Article |
|---|---|
| Title: | Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/MC.2021.3067225 |
| Publisher version: | https://doi.org/10.1109/MC.2021.3067225 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Hardware & Architecture, Computer Science, Software Engineering, Computer Science |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10164738 |
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