 |
[email protected] |
 |
3275638434 |
 |
 |
| Paper Publishing WeChat |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
A Compliance Society: Social Form and Legal Form of Future
ZHOU Suihan
Full-Text PDF
XML 397 Views
DOI:10.17265/2159-5542/2022.10.009
Nanjing Audit University, Nanjing, China
Algorithm-based technologies are promoting the arrival of legal singularity—a time node when the transformation of legal form happens. Frontier researches have demonstrated that artificial intelligence and big data technology will drive the reform of legal system. This article puts forward a new academic model “the compliance society”, which can be defined as a society where all legal subjects abide by the law proactively. The concept is a novel vision of the society of future based on the maximum utilization of modern legal technology. We first explore the feasibility of constructing a compliance society, and then use cost-benefit analysis to assess the possible socio-economic effects.
transformation of legal form, compliance society, technology law, socio-economic analysis
Psychology Research, October 2022, Vol. 12, No. 10, 845-857
Backer, L. C. (2009). From constitution to constitutionalism: A global framework for legitimate public power systems. Penn St. L. Rev., 113, 671-732.
Baer, M. H. (2009). Governing corporate compliance. B. C. L. Rev., 50, 949-1019.
Bergman, T. J., & Beehner, J. C. (2015). Measuring social complexity. Animal Behaviour, 103, 203-209.
Casey, A. J., & Niblett, A. (2017). The death of rules and standards. Ind. L. J., 92, 1401-1447.
Casey, A. J., & Niblett, A. (2019). A framework for the new personalization of law. U. Chi. L. Rev., 86, 333-358.
Chen, R.-C. (2022). Mode reshaping of examination and judgement on electronic evidence—From mixed review to separate review. Hebei Law Science, 40(7), 46-72.
Devins, C., Felin, T., Kauffman, S., & Koppl, R. (2017). The law and big data. Cornell J. L. & Pub. Policy, 27, 357-413.
Ferguson, A. G. (2017). Policing predictive policing. Wash. U. L. Rev., 94, 1109-1189.
Ferguson, A. G. (2021). Surveillance and the tyrant test. Geo. L. J., 110, 205-290.
Fuller, L. L. (1964). The morality of law. New Haven: Yale University Press.
Glaberson, S. K. (2019). Coding over the cracks: Predictive analytics and child protection. Fordham Urb. L. J., 46, 307-363.
Griffith, S. J. (2016). Corporate governance in an era of compliance. WM. & Mary L. Rev., 57, 2075-2106.
Grimm, P. W., Grossman, M. R., & Cormack, G. V. (2021). Artificial intelligence as evidence. Nw. J. Tech. & Intell. Prop., 19, 9-106.
Hart, H. L. A. (1968). Punishment and responsibility. Oxford: Clarendon Press.
Haugh, T. (2017). Nudging corporate compliance. AM. Bus. L. J., 54, 683-741.
He, L. Y. (2021-12-15). Tang Ruisi, senior researcher of Brookings Institution: Moore’s law has not failed, new materials and new computing technologies are expected to make a disruptive breakthrough. 21st Century Business Herald.
Herzog, D. (2017). Democracy, law, compliance. Law & Soc. Inquiry, 42, 6-15.
Kuklin, B. (2004). Evolution, politics and law. Val. U. L. Rev., 38, 1129-1248.
Li, X. M. (2022). Generalization of compliance concept and establishment of new category: Organizational compliance. Research on Rule of Law, 16(2), 136-147.
Liang, F. (2020). COVID-19 and health code: How digital platforms tackle the pandemic in China. Social Media + Society, 6(3), 2056305120947657.
Lombroso, C. (1876). Criminal man. Durham: Duke University Press.
Ma, G. Y. (2021). On the review of artificial intelligence evidence in criminal procedure. Chinese Criminal Science, 31(5), 158-176.
Mackie, J. L. (1981). Obligations to obey the law. VA. L. Rev., 67, 143-158.
McGinnis, J. O., & Wasick, S. (2014). Law’s algorithm. Fla. L. Rev., 66, 991-1050.
Moe, T. M. (2015). Vested interests and political institutions. Political Science Quarterly, 130(2), 277-318.
Osbeck, M. K. (2018). Lawyer as a soothsayer: Exploring the important role of outcome prediction in the practice of law. Penn St. L. Rev., 123, 41-102.
Ramakrishna, S. P. (1964). Enterprise compliance risk management: An essential toolkit for banks and financial services. Singapore: John Wiley & Sons Singapore Pte. Ltd.
Robison, R. A. (2012). Moore’s law: Predictor and driver of the silicon era. World Neurosurgery, 78(5), 399-403.
Simon, B. (1978). Mind and madness in ancient Greece: The classical roots of modern psychiatry. Ithaca, N.Y.: Cornell University Press.
Skinner, B. F. (1971). Beyond freedom and dignity. US: Bantam Books.
Sliver, N. (2015). The signal & the noise: Why so many predictions fail but some don’t. London: Penguin paperback ed.
Solomon, A., Livne, A., Katz, G., Shapira, B., & Rokach, L. (2021). Analyzing movement predictability using human attributes and behavioral patterns. Computers, Environment and Urban Systems, 87, 101596.
Spencer, S. B. (2017). Predictive surveillance and the threat to fourth amendment jurisprudence. J. L. & Policy for Info. Society, 14, 109-149.
Tancredi, L. R. (2007). The neuroscience of “Free Will”. Behav. Sci. Law, 25, 295-308.
Williams, J. W. (2006). Private legal orders: Professional markets and the commodification of financial governance. Soc. & Legal Stud., 15, 209-235.
Wei, J., & Zhou, L. B. (2017). Law and economics. Beijing: China Renmin University Press.
Weber, R. F. (2020). Will the “Legal Singularity” hollow out law’s normative core? Mich. Tech. L. Rev., 27, 97-165.
West, G. (2018). Scale: The universal laws of life, growth, and death in organisms, cities, and companies. London: Penguin Books.
Wortley, R. (2011). Psychological criminology: An integrative approach. London and New York: Routledge.