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Liability Rules for Algorithmic Discrimination

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DOI: 10.23977/law.2023.020902 | Downloads: 19 | Views: 314

Author(s)

Hu Zhiju 1

Affiliation(s)

1 School of Law and Political Science, Urban and Rural Cultural Development Research Center, Guangzhou College of Applied Science and Technology, Guangzhou, Guangdong, 511370, China

Corresponding Author

Hu Zhiju

ABSTRACT

Algorithmic discrimination represents the translation of human societal discrimination into the realm of algorithms. It manifests as algorithmic thinking, black-box algorithms, and non-neutrality, all stemming from the design of algorithmic technologies. Furthermore, it becomes apparent in the form of biased decision-making during algorithmic operations. This phenomenon not only infringes upon citizens' equal rights but also disrupts market economic order and jeopardizes social fairness and justice. To effectively address the real-world issues arising from algorithmic discrimination, it is imperative to approach this problem from a legal perspective. Algorithmic discrimination differs from traditional forms of infringement, necessitating a thorough analysis of its constituent elements, responsible entities, modes of liability, and the establishment of mechanisms for liability allocation. Through these legal regulations, a legal framework for the algorithmic era can be constructed, safeguarding the safety and development of humanity in the digital society.

KEYWORDS

Algorithmic Discrimination, Root Causes, Real-world Harms, Constituent Elements, Responsibility Allocation

CITE THIS PAPER

Hu Zhiju, Liability Rules for Algorithmic Discrimination. Science of Law Journal (2023) Vol. 2: 10-17. DOI: http://dx.doi.org/DOI: 10.23977/law.2023.020902.

REFERENCES

[1] Shi Ying. The Origin, Challenge and Legal Response of Algorithm Discrimination [J]. Journal of Gansu University of Political Science and Law, 2022(3):58-68.
[2] Liu Yuzhuo. The Constitutional Function of Equal Rights in Governance of Algorithmic Discrimination [J]. Science Economy and Society, 2022(1):66-79.
[3] Yang Yahan. Research on Typological Infringement of Improper Application of Algorithms in the Age of Artificial Intelligence and Exploration of Differentiated Regulation Paths [J]. Industrial Technology Innovation, 2022(4):79-82.
[4] Wang Ying. On the Framework of Algorithm Infringement Liability [J]. Chinese Law, 2022(3):165-184.
[5] Li Wenchao, Wu Yifan. Research on Prior Regulation and Infringement Remedies for Algorithm Infringement Behavior [J]. Application of Law, 2023(3):119-128.
[6] Zhang Hui. Specification and Technical Analysis of Autonomous Algorithm Privacy Protection [J]. Lanzhou Academic Journal, 2021(3):120-135.
[7] Song Baozhen. The rights of "digitally disadvantaged groups" and their legal protection [J]. Legal Science (Journal of Northwest University of Political Science and Law), 2020(6):53-64.
[8] Zheng Yushuang. Solving the problem of technological neutrality—Rethinking jurisprudence on the relationship between law and technology [J]. Journal of East China University of Political Science and Law, 2018(1): 85-97.
[9] He Guoqiang. Risk society, risk allocation and tort liability law reform [J]. Guangdong Social Sciences, 2018(3): 228-237.
[10] Shen Weiwei. The Myth of the Algorithmic Transparency Principle—Criticism of Algorithmic Regulation Theory [J]. Global Law Review, 2019(6):20-39.
[11] Wang Liming. New challenges to civil law in the era of artificial intelligence [J]. Oriental Jurisprudence, 2018 (3):4-9.
[12] Zhang Linghan. Platform algorithm accountability and improvement in the "Personal Information Protection Law (Draft)" [J]. Economic and Trade Law Review, 2021(01):36-46.

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