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2020 | OriginalPaper | Buchkapitel

Algorithm Bias Detection and Mitigation in Lenovo Face Recognition Engine

verfasst von : Sheng Shi, Shanshan Wei, Zhongchao Shi, Yangzhou Du, Wei Fan, Jianping Fan, Yolanda Conyers, Feiyu Xu

Erschienen in: Natural Language Processing and Chinese Computing

Verlag: Springer International Publishing

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Abstract

With the advancement of Artificial Intelligence (AI), algorithms brings more fairness challenges in ethical, legal, psychological and social levels. People should start to face these challenges seriously in dealing with AI products and AI solutions. More and more companies start to recognize the importance of Diversity and Inclusion (D&I) due to AI algorithms and take corresponding actions. This paper introduces Lenovo AI’s Vision on D&I, specially, the efforts of mitigating algorithm bias in human face processing technology. Latest evaluation shows that Lenovo face recognition engine achieves better performance of racial fairness over competitors in terms of multiple metrics. In addition, it also presents post-processing strategy of improving fairness according to different considerations and criteria.

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Titel: Algorithm Bias Detection and Mitigation in Lenovo Face Recognition Engine
verfasst von: Sheng Shi
Shanshan Wei
Zhongchao Shi
Yangzhou Du
Wei Fan
Jianping Fan
Yolanda Conyers
Feiyu Xu
Verlag: Springer International Publishing
Buch: Natural Language Processing and Chinese Computing
Print ISBN: 978-3-030-60456-1

Electronic ISBN: 978-3-030-60457-8

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-60457-8_36

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