Interplay of Legal Frameworks and Artificial Intelligence (AI): A Global Perspective

  • Muhammad Abu Nayem Miazi Department of Law, Green University of Bangladesh, Bangladesh
Keywords: Artificial Intelligence (AI), ethics, global perspective, legal framework, regulation

Abstract

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Artificial Intelligence's (AI’s) growing impact on institutions, economies, and individual lives calls for a careful analysis of how AI interacts with the current legal systems. With an emphasis on a global perspective, the current study intended to provide a critical analysis of the intersection of AI technology and the law. The disparities in AI rules and ethical principles among jurisdictions create both opportunities and problems for global governance, inspiring this endeavor. The current study compared legal frameworks, economic interests, and cultural values of the United States, the European Union, China, Pakistan, India, and Bangladesh to draw a clearer picture of the varied terrain of AI governance. The United States takes a sectoral strategy, with a focus on rules for certain industries, whereas the European Union uses a more cohesive, ethical approach, as seen in its General Data Protection Regulation (GDPR). While the United States pursues a more laissez-faire approach, China pursues a more government-led agenda that mixes regulatory monitoring with market-driven innovation. Although, their legal landscapes are changing quickly, Pakistan, India, and Bangladesh are still in the early stages of developing a comprehensive AI strategy. In its final section, the current study calls for a global discussion on how to regulate AI responsibly and create uniform regulations that can handle the myriad ethical and legal implications of AI.

 

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References

Abbott, R. (2018). The reasonable computer: Disrupting the paradigm of tort liability. George Washington Law Review, 86(1), 1–45.

Arun, C. (2019). AI and the global south: Designing for other worlds. In M. D. Dubber, F. Pasquale, & S, Das (Eds.), The oxford handbook of ethics of AI. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190067397.013.38

Barocas, S., & Selbst, A. D. (2016). Big data's disparate impact. California Law Review, 104(3), 671–732.

Bangladesh Association of Software and Information Services. (2021). Artificial intelligence: Future prospects. https://basis.org.bd/public/files/anual_report/b35c2481e8e1c8dc426db643aae89c81-28032022034004.pdf

Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.

Calo, R. (2017). Artificial intelligence policy: A primer and roadmap. University of Washington School of Law. https://dlib.phenikaa-uni.edu.vn/handle/PNK/5301

Edwards, L., & Veale, M. (2017). Slave to the algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for. Duke Law & Technology Review, 16(1), 18–84.

European Commission. (2019). Ethics guidelines for trustworthy AI. https://www.aepd.es/sites/default/files/2019-12/ai-ethics-guidelines.pdf

European Commission. (2021, November 19). A European approach to artificial intelligence. http://tinyurl.com/7nn3z24x

Government of Bangladesh. (2019). E-Government master plan for digital Bangladesh. http://tinyurl.com/mryu82ny

Government of India. (2019). National strategy for AI. Government of India. https://indiaai.gov.in/research-reports/national-strategy-for-artificial-intelligence/

Government of Pakistan. (2018). Digital Pakistan: Ministry of information technology and telecommunication. https://moitt.gov.pk/SiteImage/Misc/files/National%20AI%20Policy%20Consultation%20Draft%20V1.pdf

India AI. (2020, August 19). Unlocking value from data and AI: The India opportunity. https://indiaai.gov.in/research-reports/unlocking-value-from-data-and-ai-the-india-opportunity/

Khalid, Z. (2023, June 21). Centre for strategic and contemporary research. Center for Strategic and Contemporary Research. https://cscr.pk/explore/themes/politics-governance/pakistans-draft-national-ai-policy-is-a-hodgepodge-of-technospeak/

Khan, M. S. A., Mukit, S. H., & Raisa, N. N. (2021). Information and communication technology (ICT) adoption of SMEs in Bangladesh. Friedrich-Ebert-Stiftung. https://bangladesh.fes.de/fileadmin/user_upload/pdf-files/Edited_for_Website_Combind-SME-Training-Manual_V4A.pdf

Koops, B.-J., Hildebrandt, M., & Jaquet-Chiffelle, D.-O. (2010). Bridging the accountability gap: Rights for new entities in the information society? Minnesota Journal of Law, Science & Technology, 11(2), 497–561.

Kroll, J. A. (2018). The fallacy of inscrutability. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), Article e20180084. https://doi.org/10.1098/rsta.2018.0084

Lee, K.-F. (2018). AI superpowers: China, Silicon Valley, and the new world order. Houghton Mifflin Harcourt.

Lessig, L. (1999). Code: And other laws of cyberspace. Basic Books.

National Institution for Transforming India. (2018). National strategy for artificial intelligence. https://niti.gov.in/sites/default/files/2019-01/NationalStrategy-for-AI-Discussion-Paper.pdf

National University of Sciences & Technology. (2021). NUST annual SDGs report, 2020. https://nust.edu.pk/downloads/nust-sdgs-report/

Peppet, S. R. (2014). Regulating the internet of things: First steps toward managing discrimination, privacy, security and consent. Texas Law Review, 93(1), 85–176.

Robbins v. Lower Merion School District, 10-cv-0665 U.S. District Court for the Eastern District of Pennsylvania (2010). https://law.justia.com/cases/federal/district-courts/pennsylvania/paedce/2:2010cv00665/347863/81/

Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Penguin.

Sachdeva, I., Ramesh, S., Chadha, U., Punugoti, H., & Selvaraj, S. K. (2022). Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities. Neural Computing and Applications, 34(20), 17207–17229. https://doi.org/10.1007/s00521-022-07694-4

Susskind, R., & Susskind, R. E. (2023). Tomorrow's lawyers: An introduction to your future. Oxford University Press.

Tegmark, M. (2018). Life 3.0: Being human in the age of artificial intelligence. Vintage.

The Global Partnership on Artificial Intelligence. (2021). State-of-the-art foundation AI models should be accompanied by detection mechanisms as a condition of public release. https://gpai.ai/projects/responsible-ai/social-media-governance/Social%20Media%20Governance%20Project%20-%20July%202023.pdf

The Organization for Economic Cooperation and Development. (2023). Regulatory sandboxes in artificial intelligence. https://www.oecd.org/publications/regulatory-sandboxes-in-artificial-intelligence-8f80a0e6-en.htm

US Congress. (2020, November 19). H.R. 2575 (PCS) - AI in government act of 2020. https://www.govinfo.gov/app/details/BILLS-116hr2575pcs

Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Why a right to explanation of automated decision-making does not exist in the general data protection regulation. International Data Privacy Law, 7(2), 76–99.

Warner, R., & Sloan, R. (2014). Beyond notice and choice: Privacy, norms, and consent. Journal Of High Technology Law, Article e2013-16. http://dx.doi.org/10.2139/ssrn.2239099

Webster, G., Creemers, R., Triolo, P., & Kania, E. (2017, Augus 1). China’s plan to ‘Lead’ in AI: Purpose, prospects, and problems. New America. https://www.newamerica.org/cybersecurity-initiative/blog/chinas-plan-lead-ai-purpose-prospects-and-problems/

Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., West, S. M., Richardson, R., Schultz, J., & Schwartz, O. (2018). AI now report 2018. AI Now Institute.

Zheng, G., & Shu, J. (2023). In the name of protection—A critical analysis of china's legal framework of children's personal information protection in the digital era. SSRN. http://dx.doi.org/10.2139/ssrn.4459480

Published
2023-12-29
How to Cite
Miazi, M. A. N. (2023). Interplay of Legal Frameworks and Artificial Intelligence (AI): A Global Perspective. Law and Policy Review, 2(2), 01-25. Retrieved from https://journals.umt.edu.pk/index.php/lpr/article/view/4967
Section
Articles