Legal Regulation of Algorithms From the Perspective of Interpretability

Lin CAI, Xueke JI

Abstract


The human life in the age of artificial intelligence has undergone tremendous changes. Algorithm technology is widely developed and applied as one of the core technologies of artificial intelligence. However, a series of problems such as algorithm discrimination, algorithm killing, and “information cocoon” caused by unexplainable algorithms represented by artificial neural networks needed to be solved urgently,which forms a risk society. The algorithmic order is gradually “offside” into a new social order, which challenges the existing legal order. Because the existing legal order upholds the neutral value of technology tools and does not pay attention to the legal regulations of technology itself, it cannot make ethical prejudgment of unexplainable algorithms to prevent and control social risks. With the deepening of the “intelligence” of algorithm technology, social risk is expanding. The field of algorithm technology creates interpretable algorithms to respond to social risks. However, due to the lack of legal value and institutional design support, the technological advantages of interpretable algorithms to prevent and control algorithm black boxes, “Offside order” and coping with a risky society cannot be confirmed and guided by law. Therefore, it is an effective way to solve the risks in the age of artificial intelligence by taking the technical critical theory of risk society as the value basis and taking the interpretability of algorithms as a necessary condition for algorithm regulation.


Keywords


Algorithm; Interpretability; Risk society

Full Text:

PDF

References


Baker, Giddens, & Rush (2001). Reflexive modernization (p.76. W. W. Zhao, Trans.). Commercial Press.

Cano, A., Zafra, A., & Ventura, S. (2013). An interpretable classification rule mining algorithm. Information Sciences, 240(08), 1-20.

Cheng, Y. (2019). Data protection and algorithm regulation under the meta-regulation mode——Taking the European Union’s “General Data Protection Regulations” as the research sample. Law Science (Journal of Northwest University of Political Science and Law), 37(04), 48-55.

Chu, Q. W. (2014). Artificial intelligence from the perspective of philosophy. Wuhan University of Technology.

Gao, Q. Q., & Zhang, P. (2018). On the multidimensional challenges of artificial intelligence to future laws. Journal of Huazhong University of Science and Technology (Social Science Edition), 32(01), 86-96.

Ge Dewen, W. (1982). Theory of political justice (Vol. 1, M. L. He, Trans.) Beijing: Commercial Press.

Guo, Y. D. (2017). Philosophical thinking on artificial intelligence. Harbin University of Science and Technology.

Hobbes (1985). Leviathan (p.72. S. F. Li & T. B. Li, Trans.) Commercial Press.

Jiang, Y., & Li, Y. J. (2019). Breaking algorithm black box: functional proof and application path of algorithm interpretation power—Taking social credit system construction as the scene [J/OL]. Journal of Fujian Normal University (Philosophy and Social Sciences Edition), (04), 84-92+102+171-172[2019-08-12]. http://kns.cnki.net/kcms/detail/35.1016.C.20190722.1523.018.html.

Krull, J. A., Huey, J., Barlockas, S., Felton, E. W., et al (2019). Accountable Algorithm. Research of Local Legislation, 4(04), 102-150.

Liu, S. X., Wang, X. T., Liu, M. C., & Zhu, J. (2017). Towards better analysis of machine learning models: A visual analytics perspective. Visual Informatics, 01(03), 48-56.

Liu, T. G. (2011). The paradigm shift of technical regulation foundation in risk society. Modern Law Science, 33(04), 68-78.

Liu, T. G. (2011). The paradigm shift of technical regulation foundation in risk society. Modern Law Science, 33(04), 68-78.

Liu, Y. H. (2019) .Research on algorithmic bias and its regulation path. Journal of Law, 40(06), 55-66.

Luo, Y. Z. (2003). Strategic thinking on perfecting china’s science and technology legal system. Science & Technology, (01), 1-7.

Ma, M. (2006). Research on data-driven fuzzy system modeling method. Jilin University.

Olah, C. (2018). The building blocks of interpretability. https://distill.pub/2018/building-blocks/, accessed on March 15, 2018.

Perrow, C. (1994). Accidents in high -risk system. Technology Studies, 1, 23.

Roque, J. V., Cardoso, W., Peternelli, L. A., & Teófilo, R. T. (2019). Comprehensive new approaches for variable selection using ordered predictors selection. Analytica Chimica Acta, 1075(10), 57-70.

Si, X., & Cao, J. F. (2017). On the civil liability of artificial intelligence: taking autonomous vehicles and intelligent robots as the entry point. Science of Law (Journal of Northwest University of Political Science and Law), 35(05), 166-173.

Sun, J. L. (2019). Research on legal regulation of algorithmic automated decision risks. Research on Rule of Law, (04), 108-117.

Tencent Research Institute, Internet Law Research Center of China Academy of Information and Communication Technology, etc. (2017). Artificial intelligence-the national artificial intelligence strategic action grasp. Beijing: Renmin University of China Press.

Tilly (2000). History of western philosophy (p.428. L. Ge, Trans.). Beijing: Commercial Press.

Wang, K. (2019). Legal responsibility in human experiment of “Gene editing baby” —— A Hermeneutic analysis based on China’s current legal framework. Journal of Chongqing University (Social Science Edition), 25(05), 134-144.

Wang, L. M. (2008). Construction of China’s tort liability system—Thinking about relief law. China Law Science, (04), 3-15.

Wang, N. D. (2009). A review of the theory of “Reflexive Modernity”. Foreign Theoretical Trends, (07), 98-102.

Wang, Y. H. (2006). Phenomenological reflections on the essence of technology and its possible future: Heidegger’s philosophical questioning of technology in his later period. Journal of Peking University Graduate Studies, (1), 71.

Wang, Z. W. (2001). Tort law (Vol.1, p.34). China University of Political Science and Law Press.

Wu, H. D. (2017). Institutional arrangement and legal regulation in the age of artificial intelligence. Social Science Abstracts, (12), 76-78.

Wu, H. D. (2017). The institutional arrangement and legal regulation in the age of artificial intelligence. Science of Law (Journal of Northwest University of Political Science and Law), 35(05), 128-136.

Yang, Q. F. (2003). Technology as the purpose. Fudan University.

Zhang, L. H. (2019). Iteration and innovation of algorithm regulation. Forum on Law, 34(02), 16-26.

Zhang, L. H. (2018). Research on algorithmic interpretation power of business automation decision. Science of Law (Journal of Northwest University of Political Science and Law), 36(03), 65-74.

Zhang, L. H. (2019). Iteration and innovation of algorithm regulation. Law Forum, 34(02), 16-26.

Zhang, L. H. (2019). The rise, alienation and legal regulation of algorithmic power. Research on Law Merchants, 36(04), 63-75.

Zheng, G. (2018). Algorithm law and legal algorithm. China Law Review, (02), 66-85.

Zong, W., Chow, Y. W., & Susilo, W. (2020). Interactive three-dimensional visualization of network intrusion detection data for machine learning. Future Generation Computer Systems, 102(01), 292-306.

Zou, K. L., & Liu, J. M. (2018). The dilemma and outlet of the legal regulations of big data “Killing Familiarity” —— Only from the perspective of the “Consumer Rights Protection Law”. Price Theory and Practice, (08), 47-50.




DOI: http://dx.doi.org/10.3968/11612

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Lin CAI

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share us to:   

Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

Online Submission: http://cscanada.org/index.php/ccc/submission/wizard

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.
  • We only use four mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases: [email protected]; [email protected]; [email protected]; [email protected]

 Articles published in Cross-Cultural Communication are licensed under Creative Commons Attribution 4.0 (CC-BY).

 CROSS-CULTURAL COMMUNICATION Editorial Office

Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.
Telephone: 1-514-558 6138 
Website: Http://www.cscanada.net; Http://www.cscanada.org 
E-mail:[email protected]; [email protected]

Copyright © Canadian Academy of Oriental and Occidental Culture