Regulating Artificial Intelligence: A Study in the Comparison between South Asia and Other Countries

  • Mahmud Hasan University of Dhaka
Keywords: Artificial Intelligence, AI Legislation, Global AI Regulation, AI Regulatory Challenges, AI Regulation in South Asia, Effective AI Regulatory Strategies, Legal Disparity in AI Regulation

Abstract

Any regulation, law, or legal order enforced by the lawful authority of a territory to maintain, control, and regulate the characteristics, development, and public interaction of an artificial entity developed in a digital manner can be called AI legislation. The paper presents a comparative analysis of the regulatory landscape for artificial intelligence in the South Asian countries in relation to other selective countries and organizations globally, in light of the challenges encountered in regulating AI in the region. Furthermore, the study demonstrates that South Asian nations have experienced a significant and persistent legal disparity in comparison to other global regions, which has been both involuntary and inequitable. The paper presents an argument for the regulation of artificial intelligence and offers suggestions for South Asian countries to effectively regulate AI despite challenges related to its design and economic limitations.

Author Biography

Mahmud Hasan, University of Dhaka

Undergraduate Student

References

Ashraf C. (2022) Exploring Impacts of Artificial Intelligence on Freedom of Religion or Belief Online. The International Journal of Human Rights, vol. 26, no. 5, pp. 757–791. DOI: https://doi.org/10.1080/13642987.2021.1968376

Bathaee Y. (2018) The Artificial Intelligence Black Box and the Failure of Intent and Causation. Harvard Journal of Law and Technology, no. 2, pp. 897–903.

Belli L., Curzi Y., Gaspar W.B. (2023) AI Regulation in Brazil: Advancements, Flows, and Need to Learn from the Data Protection Experience. Computer Law & Security Review, vol. 48, p. 48 . DOI: https://doi.org/10.1016/j.clsr.2022.105767

Calo R. (2017) Artificial Intelligence Policy: A Roadmap. SSRN Electronic Journal, vol. 51, pp. 407–410. DOI: https://doi.org/10.2139/ssrn.3015350

Chen Z. (2023) Ethics and Discrimination in Artificial Intelligence-Enabled Recruitment Practices. Humanities and Social Sciences Communications, no. 10, pp. 1–10. DOI: https://doi.org/10.1057/s41599-023-02079-x

Davis T. et al. (2022) AI Governance in Africa. Alternative Advisory, no. 1, pp. 8–12.

Filgueiras F., Junquilho T.A. (2023) The Brazilian (Non) Perspective on National Strategy for Artificial Intelligence. Discover Artificial Intelligence, vol. 3, no. 7, pp. 1–3. DOI: https://doi.org/10.1007/s44163-023-00052-w

Hong J.W., Wang Y., Lanz P. (2020) Why Is Artificial Intelligence Blamed More? Analysis of Faulting Artificial Intelligence for Self-Driving Car Accidents in Experimental Settings. International Journal of Human–Computer Interaction, vol. 36, pp. 1768–1774. DOI: https://doi.org/10.1080/10447318.2020.1785693

Janiesch C., Zschech P., Heinrich K. (2021) Machine Learning and Deep Learning. Electronic Markets, vol. 31, pp. 685–695. DOI: https://doi.org/10.1007/s12525-021-00475-2

Kesa A., Kerikmäe T. (2020) Artificial Intelligence and the GDPR: Inevitable Nemeses? TalTech Journal of European Studies, vol. 10, pp. 68–90. DOI: https://doi.org/10.1515/bjes-2020-0022

Lockey S., Gillespie N., Curtis C. (2020) Trust in Artificial Intelligence: Australian Insights. The University of Queensland and KPMG Australia, p. 8. DOI: https://doi.org/10.14264/b32f129

Morgan F. et al. (2020) Military Applications of Artificial Intelligence: Ethical Concerns in an Uncertain World. Rand Corporations, pp. 118–125. DOI: https://doi.org/10.7249/RR3139

Leibold J. (2019) Surveillance in China’s Xinjiang Region: Ethnic Sorting, Coercion, and Inducement. Journal of Contemporary China, vol. 29, issue 121, pp. 46–60. DOI: https://doi.org/10.1080/10670564.2019.1621529

Qiang X. (2019) The Road to Digital Unfreedom: President Xi’s Surveillance State. John Hopkins University Press, vol. 30, no. 1, pp. 53–67. DOI: https://doi.org/10.1353/jod.2019.0004

Rodrigues R. (2020) Legal and Human Rights Issues of AI: Gaps, Challenges and Vulnerabilities. Journal of Responsible Technology, vol. 4, p. 100005. DOI: https://doi.org/10.1016/j.jrt.2020.100005

Ryngaert C., Taylor M. (2020) The GDPR as Global Data Protection Regulation? American Journal of International Law Unbound, vol. 114, pp. 5–9. DOI: https://doi.org/10.1017/aju.2019.80

Shchitova A.A. (2020) Definition of Artificial Intelligence for Legal Regulation. Atlantis Press: Proceedings of the 2nd International Conference on Digital Economy, pp. 616–620. DOI: https://doi.org/10.2991/aebmr.k.201205.104

Su Z. et al. (2023) China’s Algorithmic Regulations: Public-Facing Communication Is Needed. Health Policy and Technology, vol. 12, pp. 1–3. DOI: https://doi.org/10.1016/j.hlpt.2022.100719

Published
2024-04-04
How to Cite
HasanM. (2024). Regulating Artificial Intelligence: A Study in the Comparison between South Asia and Other Countries. Legal Issues in the Digital Age, 5(1), 122-149. https://doi.org/10.17323/2713-2749.2024.1.122.149