Research on discrimination and regulation of artificial intelligence algorithm

Xianghui Tao; Lujia Li; Jianjun He; . Suzuki

doi:10.1117/12.2641812

10 November 2022 Research on discrimination and regulation of artificial intelligence algorithm

Xianghui Tao, Lujia Li, Jianjun He, . Suzuki

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123480A (2022) https://doi.org/10.1117/12.2641812
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

The rapid development of artificial intelligence has given rise to a series of algorithmic problems that are thought-provoking, and algorithmic discrimination is a more prominent problem in the development of artificial intelligence algorithms. The main manifestations of algorithmic discrimination include feature-selective discrimination, associative discrimination, and big data-enabled price discrimination. The causes of algorithmic discrimination mainly include original bias, learning bias and external bias. The regulation of algorithmic discrimination should follow the principles of visualization and transparency, and at the same time, in the improvement of algorithmic technology, it is necessary to ensure the accuracy of algorithm operation while focusing on the inherent fairness of the algorithm. All in all, the regulation of algorithmic discrimination is a synergistic situation formed by the joint participation of multiple parties.

Citation Download Citation

Xianghui Tao, Lujia Li, Jianjun He, and . Suzuki "Research on discrimination and regulation of artificial intelligence algorithm", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123480A (10 November 2022); https://doi.org/10.1117/12.2641812

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