Coordination of Legal Protection of Algorithms and Intellectual Property System

Lin CAI, Zihang WANG

Abstract


In the context of the intelligent revolution, the algorithm is increasingly becoming an important tool for assisting decision-making and regulating order. Because of the professionalism and opacity of the algorithm, a series of challenges of legal rules and legal order will occur if there is no market access mechanism and post-mortem supervision. Based on the analysis of the intellectual property protection of the algorithm and the essence of the intelligent society, this paper reveals that the algorithm is the endogenous power of the intelligent society. The intellectual property protection of the algorithm is in line with the value needs of the essence of the intelligent society, which is the necessary system for the rapid development of the intelligent society in the future. The existing algorithm protection methods include copyright, trade secrets, and patent rights. The current coverage is not wide enough, the protection effect is weak, and it is easy to trigger new social problems, which can hinder the protection of social benefits and the promotion of technological progress. The authors believe that the patent law “public change protection” mechanism can not only alleviate the contradiction between “algorithm power” and public interest but also stimulate the development of algorithm technology. An algorithm is a technical solution, and it is also a rule of thinking. The algorithm has the characteristics of technical solutions and thinking rules, which is different from pure thought rules and can produce “changes in the physical state”. Therefore, it should be protected as an object of the patent law. It is necessary to determine the patent-ability standard of the algorithm as soon as possible. The algorithm acts as a new type of object protected by the patent law directly, and at the same time, it sets the algorithm value evaluation mechanism. Finally, through the system construction of algorithm protection, the intellectual property law can be used to promote the innovation of algorithms, so that the algorithm can be developed in a more rational, ethical and legal direction to boost the rapid development of intelligent society.


Keywords


Algorithm; Patent; Intellectual property; Intelligent society

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References


Cao, J. F. (2016). Artificial intelligence: Machine discrimination and countermeasures. Information Security and Communications Privacy, (12), 15-19.

Chen, P. (2019). Algorithmic power: application and regulation. Zhejiang Social Sciences, (04), 52-58, & 157.

Coriat, B. (2002). Establishing a new intellectual property rights regime in the United States: Origins, content and problems. Research Policy, 1491-1507.

Cui, G. B. (2005). Abstract idea and concrete technique in patent law -- object attribute analysis of computer program algorithm. Journal of Tsinghua University (Philosophy and Social Sciences), (03), 37-51.

Cui, J. Z. (2019). The crisis and countermeasures of equal rights protection under the challenge of algorithmic discrimination. Science of Law (Journal of Northwest University of Political Science and Law), (03), 29-42.

Davidow, B. (2014). Welcome to algorithmic prison-the use of big data to profile citizens is subtly, silently constraining freedom. The Atlantic.

Ding, X. D. (2017). Algorithm and discrimination from the perspective of American education affirmation cases. Peking University Law Journal, (06), 1609-1623.

Du, J., & Yin, H. X. (2017). Writing skills for patent application documents involving algorithms. Patent Agent, (03), 60-65.

Huang, Q. M. (2010). Patent review guide. Beijing: Intellectual Property Publishing House,2010, 260-270.

Ji, D. M. (2017). The challenge of artificial intelligence inventions to the patent system—Taking genetic programming as an example. Intellectual Property, (11), 59-66.

Jiang, Y. (2018). Algorithmic discipline and discipline algorithm: Legal regulation of artificial intelligence age algorithm. Hebei Law Science, (12), 142-153.

Knuth, D. E. (1974). Computer programming as an art. Communications of the ACM. (12).

Lepri, B., Staiano, J., & Sangokoya, D. (2017). The tyranny of data? The bright and dark sides of data-driven decision -making for social good, transparent data mining for big and small data. Springer International Publishing.

Li, B. (2018). Artificial intelligence in American judicial practice: Problems and challenges. China Law Review, (02), 54-56.

Li, X. Q. (2011). Analysis of the patentability of business methods. Tribune of Political Science and Law, (02), 150-160.

Li, Y. H., & Zhang, Z. Y. (2011). A kind of method and device for sorting search results. China. Patent 201110118082.6. 2011-05-09.

Liu, D. H., Liao, J. Q., & Liu, J. X. (2003). Legal regulation of asymmetric consumption information. Legal Forum, (04), 61-66.

Rose, A. C. (1982). Protection of intellectual property rights in computers and computer programs: Recent developments. Intellectual Property Rights Pepperdine Law Review, 547-567.

Ru, X. H. (2018). Algorithm politics: risk, logic and governance. Journal of Xiamen University (Arts & Social Sciences), (06), 27-38.

Saurwein, F., Just, N., & Latzer. M. (2015). Governance of algorithms: options and limitations (pp.35-49). Emerald Group Publishing Limited.

Sergio Ferraz Victor Del Nero (2018). Analysis of Artificial Intelligence Ethics and Legal. Risk Science Technology and Law, (01), 19-24, 31.

Stem, R. H. (1991). Copyright in computer programming languages. Rutgers Computer & Tech. L. J., 17, 321, 327-330, 344-346.

Stem, R. H. (1994). Solving the algorithm conundrum: After 1994 in the federal circuit, patent law needs a radical algorithmectomy, 22 AIPLA Q.J. 167, 173-194.

Stem, R. H. (1995). On defining the concept of infringement of intellectual property rights in algorithms and other abstract computer-related ideas. AIPLA quarterly journal. American Intellectual Property Law Association.

Su, L. (1995). Legal Science Reconstruction of Legal and Scientific Issues. Social Sciences in China, (05), 57-71, & 205.

Sun, N. (2019). Legal ethics construction of artificial intelligence. Jiangxi Social Sciences, (02), 15-23.

Sun, W. P. (2017). Reflection on the value of artificial intelligence. Philosophical Research, (10), 120-126.

Sun, W. P. (2017). Reflection on the value of artificial intelligence. Philosophical Research, (10), 120-126.

Swinson, J. (1991). Copyright or patent or both: An Algorithmic approach to computer software protection. Harv. J. Law & Tec., 5, 145.

Wang, Q. H. (2019). The legal regulatory path of artificial intelligence: A framework discussion. Modern Law Science, (02), 54-63.

Weckert, J. (1997). Intellectual property rights and computer software, Business Ethics, 101-109.

Wu, H. D. (2006). Government public policy and intellectual property system. Guangming Daily, 2006-10-10.

Yang, Y. C. (2018). The challenge of artificial intelligence to intellectual property law. Governance Studies, (05), 120-128.

Yu, X. Z. (2018). Algorithm society and human nature. China Law Review, (02), 57-65.

Zhang, J. (2018). Research on patent application review standards related to algorithms. South China University of Technology.

Zhang, J. Y. (2018). Thoughts on the legal system construction of the development of artificial intelligence. China Law Review, (02), 108-118.

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

Zheng, Y. (2016). Between encouraging innovation and protecting human rights – how the law responds to the challenges of big data technology innovation. Exploration and Free Views, (07), 76-85.

Zheng, Y. (2018). Algorithmic laws and legal algorithms. China Law Review, (02), 66-85.




DOI: http://dx.doi.org/10.3968/11144

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