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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Shi, S. et al. (2020). Algorithm Bias Detection and Mitigation in Lenovo Face Recognition Engine. In: Zhu, X., Zhang, M., Hong, Y., He, R. (eds) Natural Language Processing and Chinese Computing. NLPCC 2020. Lecture Notes in Computer Science(), vol 12431. Springer, Cham. https://doi.org/10.1007/978-3-030-60457-8_36
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