FROM LEGALITY TO RESPONSIBILITY: CHARTING THE COURSE FOR AI REGULATION IN MALAYSIA

Mohammad Belayet Hossain; Mahadi Hasan  Miraz; Abba Ya'u

doi:10.31436/iiumlj.v32i1.927

Authors

Mohammad Belayet Hossain Lecturer in Business Law, Faculty of Business, Curtin University Malaysia
Mahadi Hasan Miraz Lecturer, Faculty of Business, Curtin University Malaysia.
Abba Ya'u Lecturer, Faculty of Business, Curtin University Malaysia

DOI:

https://doi.org/10.31436/iiumlj.v32i1.927

Keywords:

Artificial Intelligence, Regulation, Framework, Necessity, Malaysia

Abstract

As Artificial Intelligence (AI) technologies continue to evolve rapidly, Malaysia faces the imperative of establishing a robust regulatory framework to address legal complexities and ensure responsible AI deployment. This paper examines the current landscape of AI legality in Malaysia, analysing existing laws and regulations governing AI applications across various sectors. It identifies key legal challenges, including issues related to data privacy, algorithmic transparency, liability, and ethical considerations. Emphasising the transition from mere legality to ethical responsibility, the paper advocates for a proactive approach in charting the course for AI regulation. The doctrinal research methodology is used in this paper. This paper will first discuss the use of AI in different sectors in Malaysia and then will highlight the various problems associated with it. This study also discusses newly adopted AI regulations by the EU and China, and also the progress of the USA and the UK on AI regulation. It proposes strategies for enacting a forward-looking regulatory framework that integrates ethical guidelines, promotes transparency, fosters collaboration between stakeholders, and establishes mechanisms for accountability. By navigating this trajectory towards responsible AI regulation, Malaysia can unlock the full potential of AI while upholding ethical standards, protecting individual rights, and mitigating risks associated with AI technologies.

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References

AlZu'bi, Shadi, Ala Mughaid, Fatima Quiam, and Samar Hendawi. “Exploring the capabilities and limitations of chatgpt and alternative big language models,” Artificial Intelligence and Applications, Vol. 2, no. 1, (2024): 28-37, https://doi.org/10.47852/bonviewAIA3202820.

Armenia Irina Georgescu Androniceanu, and Oana Matilda Sabie, “The Impact of Digitalization on Public Administration, Economic Development, and Well-Being in the EU Countries,” Central European Public Administration Review 20, no. 2 (November 28, 2022): 9–31, https://doi.org/10.17573/cepar.2022.2.01.

Bruno Campello de Souza, Agostinho Serrano de Andrade Neto, and Antonio Roazzi, “Are the New AIs Smart Enough to Steal Your Job? IQ Scores for ChatGPT, Microsoft Bing, Google Bard and Quora Poe,” SSRN Electronic Journal, (2023), https://doi.org/10.2139/ssrn.4412505.

Changgab Seo, “Opportunities and threats of generative AI technology,” The Journal of Internet Electronic Commerce Research 23, no. 2 (2023): 59-73.

David Restrepo Amariles, and Pablo Marcello Baquero, “Promises and Limits of Law for a Human-Centric Artificial Intelligence,” Computer Law & Security Review 48 (April 2023): 105795, https://doi.org/10.1016/j.clsr.2023.105795.

Dipankar Das, “Understanding the Choice of Human Resource and the Artificial Intelligence: ‘Strategic Behavior’ and the Existence of Industry Equilibrium,” Journal of Economic Studies 50, no. 2 (March 7, 2022): 234–67, https://doi.org/10.1108/jes-06-2021-0305.

Eamon Costello, “ChatGPT and the Educational AI Chatter: Full of Bullshit or Trying to Tell Us Something?” Postdigital Science and Education, (March 17, 2023), https://doi.org/10.1007/s42438-023-00398-5.

Eva A. M. van Dis et al (“and others”), “ChatGPT: Five Priorities for Research,” Nature 614, no. 7947 (February 3, 2023): 224–26, https://doi.org/10.1038/d41586-023-00288-7.

Gemma Conroy, “How ChatGPT and Other AI Tools Could Disrupt Scientific Publishing,” Nature 622, no. 7982 (October 10, 2023): 234–36, https://doi.org/10.1038/d41586-023-03144-w.

Gil Appel, “Generative AI Has an Intellectual Property Problem,” Harvard Business Review, (April 11, 2023). https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem.

Holden Thorp, “ChatGPT Is Fun, but Not an Author,” Science 379, no. 6630 (January 27, 2023): 313–313, https://doi.org/10.1126/science.adg7879.

Kong, Lingpeng, Zaochen Liu, Ke Zhang, Deyu Kong, and Wenwen Yan, “Discussion on AI Influence from the Perspective of Chat GPT,” International Conference on Man-Machine-Environment System Engineering, (Singapore: Springer Nature Singapore, 2023), 684-689.

Laura Illia, Elanor Colleoni, and Stelios Zyglidopoulos, “Ethical Implications of Text Generation in the Age of Artificial Intelligence,” Business Ethics, the Environment & Responsibility 32, no. 1 (September 7, 2022): 201–10, https://doi.org/10.1111/beer.12479.

Mohammadreza Farrokhnia et al (“and others”), “A SWOT Analysis of ChatGPT: Implications for Educational Practice and Research,” Innovations in Education and Teaching International, (March 27, 2023): 1–15, https://doi.org/10.1080/14703297.2023.2195846.

Praveen K. Kopalle et al (“and others”), “Examining Artificial Intelligence (AI) Technologies in Marketing via a Global Lens: Current Trends and Future Research Opportunities,” International Journal of Research in Marketing 39, no. 2 (June 2022): 522–40. https://doi.org/10.1016/j.ijresmar.2021.11.002.

Qiong Wang, and Guoqing Zhao, “Exploring the Influence of Technostress Creators on In‐service Teachers’ Attitudes toward ICT and ICT Adoption Intentions,” British Journal of Educational Technology 54, no. 6 (March 15, 2023): 1771–89, https://doi.org/10.1111/bjet.13315.

Serena Oduro, Emanuel Moss, and Jacob Metcalf, “Obligations to Assess: Recent Trends in AI Accountability Regulations,” Patterns 3, no. 11 (November 2022): 100608, https://doi.org/10.1016/j.patter.2022.100608.

Sebastian Krügel, Andreas Ostermaier, and Matthias Uhl, “Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions,” Philosophy & Technology 35, no. 1 (March 2022), https://doi.org/10.1007/s13347-022-00511-9.

Xiaofang Li, and Huchang Liao, “A Large-Scale Group Decision Making Method Based on Spatial Information Aggregation and Empathetic Relationships of Experts,” Information Sciences 632 (June 2023): 503–15.

Yuan-Ho Huang, “Exploring the Implementation of Artificial Intelligence Applications among Academic Libraries in Taiwan,” Library Hi Tech, (July 5, 2022), https://doi.org/10.1108/lht-03-2022-0159