Generative AI in Emerging Technology - A Legal and Ethical Exploration in Malaysia and Uzbekistan

Saslina Kamaruddin

Resumen


Generative artificial intelligence (AI) has gained considerable interest due to its exceptional capacity to produce text, graphics, and several other types of material. This emerging technology is swiftly revolutionizing the worldwide terrain. Generative AI algorithms can augment creative expression and create novel creative opportunities. Although generative AI promises economic expansion and creativity, it poses intricate legal and ethical dilemmas. This article examines the legal and moral consequences of adopting generative AI technology, specifically focusing on the legal stances of Malaysia and Uzbekistan. This article employs a qualitative research methodology, specifically utilising a doctrinal and comparative legal approach and conducting a content analysis of the primary source, which consists of the laws and regulations in both countries. The authors contend that while generative AI can offer valuable insights into technology, it has also sparked numerous legal and ethical concerns and given rise to criminal liability. The absence of regulation in this field underscores the necessity of implementing rules to mitigate the negative consequences associated with the use of generative AI. Furthermore, the authors argue that generative AI technology carries inherent risks such as copyright, criminal liability, and the erosion of personal data and privacy, which are fundamental human rights principles, leading to public scepticism towards the government. The paper emphasises the need for legal control in this field. The study examines the existing regulatory structures in both countries, highlighting the difficulties and opportunities presented by the growing use of generative AI. This article offers valuable insights for policymakers, industry stakeholders, and researchers working in these dynamic environments by examining crucial legal and ethical factors.

Palabras clave


Generative AI, Malaysia, Uzbekistan, Privacy and Data Protection, Ethical Issues, European Union

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Referencias


Aankwah-Amoah, J., Abdalla, S., Mogaji, E., Elbanna, A., & Dwivedi, Y. K. (2024). The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda. International Journal of Information Management, 102759.

Artzt, M. and Dung, T. (2022). Artificial intelligence and data protection: how to reconcile both areas from the European law perspective. Vietnamese Journal of Legal Sciences, 7(2), 39-58. https://doi.org/10.2478/vjls-2022-0007

Bengesi, S., El-Sayed, H., Sarker, M. K., Houkpati, Y., Irungu, J., & Oladunni, T. (2024). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. IEEE Access.

Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., ... & Viale, R. (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus, 3(6).

Chawki, M. (2024). Navigating legal challenges of deepfakes in the American context: a call to action. Cogent Engineering, 11(1). https://doi.org/10.1080/23311916.2024.2320971

Cheng, L., & Yu, T. (2019). A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems. International Journal of Energy Research, 43(6), 1928-1973.

Edwards, L. (2021). The EU AI Act: a summary of its significance and scope. Artificial Intelligence (the EU AI Act), 1.

Kamaruddin, S., Mohammad, A. M., Saufi, N. N. M., Rosli, W. R. W., Othman, M. B., & Hamin, Z. (2023, May). Compliance to GDPR Data Protection and Privacy in Artificial Intelligence Technology: Legal and Ethical Ramifications in Malaysia. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 284-288). IEEE.

Khamidov, O., & Makhmudov, M. (2020). Artificial intelligence in Uzbekistan: Challenges and opportunities. International Journal of Artificial Intelligence and Machine Learning, 10(2), 120-135. https://doi.org/10.5555/3385738.3385745

Kumar, D. (2024). Ethical and legal challenges of ai in marketing: an exploration of solutions. Journal of Information Communication and Ethics in Society, 22(1), 124-144. https://doi.org/10.1108/jices-05-2023-0068

Larsson, S. and Heintz, F. (2020). Transparency in artificial intelligence. Internet Policy Review, 9(2). https://doi.org/10.14763/2020.2.1469

Lewis, D. and Moorkens, J. (2020). A rights-based approach to trustworthy ai in social media. Social Media + Society, 6(3), 205630512095467. https://doi.org/10.1177/2056305120954672

Lucchi, N. (2023). Chatgpt: a case study on copyright challenges for generative artificial intelligence systems. European Journal of Risk Regulation, 1-23. https://doi.org/10.1017/err.2023.59

Makhmudov, M., & Khamidov, O. (2021). Regulating artificial intelligence in Uzbekistan: A comparative analysis. International Journal of Law and Information Technology, 29(1), 1-20. https://doi.org/10.1093/ijlit/eaab001

Manap, N. A., & Abdullah, A. (2020). Regulating artificial intelligence in Malaysia: The two-tier approach. UUM Journal of Legal Studies, 11(2), 183-201.

O'Sullivan, S., Nevejans, N., Allen, C., Blyth, A., Léonard, S., Pagallo, U., … & Ashrafian, H. (2019). Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (ai) and autonomous robotic surgery. International Journal of Medical Robotics and Computer Assisted Surgery, 15(1). https://doi.org/10.1002/rcs.1968

Pesapane, F., Volonté, C., Codari, M., & Sardanelli, F. (2018). Artificial intelligence as a medical device in radiology: ethical and regulatory issues in europe and the united states. Insights Into Imaging, 9(5), 745-753. https://doi.org/10.1007/s13244-018-0645-y

Rakhmonov, D., & Rakhmonova, S. (2021). Intellectual property rights in the age of artificial intelligence: Challenges and opportunities for Uzbekistan. Journal of Intellectual Property Law & Practice, 16(2), 150-161. https://doi.org/10.1093/jiplp/jpaa212

Romero Moreno, F. (2024). Generative AI and deepfakes: a human rights approach to tackling harmful content. International Review of Law, Computers & Technology, 1–30. https://doi.org/10.1080/13600869.2024.2324540

Saufi, N. N. M., Kamaruddin, S., Mohammad, A. M., Abd Jabar, N. A., Rosli, W. R. W., & Talib, Z. M. (2023, May). Disruptive AI Technology and Hate Speech: A Legal Redress in Malaysia. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 759-763). IEEE.

Shields, K. D. (2024). Transformative or disruptive?: exploring the impact of generative AI on leadership.

Thenral, M. and Annamalai, A. (2020). Challenges of building, deploying, and using ai-enabled telepsychiatry platforms for clinical practice among urban indians: a qualitative study. Indian Journal of Psychological Medicine, 43(4), 336-342. https://doi.org/10.1177/0253717620973414

Tlili, A., Shehata, B., Adarkwah, M., Bozkurt, A., Hickey, D., Huang, R., … & Agyemang, B. (2023). What if the devil is my guardian angel: chatgpt as a case study of using chatbots in education. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00237-x

Veritti, D. (2023). Behind the mask: a critical perspective on the ethical, moral, and legal implications of ai in ophthalmology. Graefe S Archive for Clinical and Experimental Ophthalmology, 262(3), 975-982. https://doi.org/10.1007/s00417-023-06245-4

Wang, C., Liu, S., Yang, H., Jiu-lin, G., Wu, Y., & Liu, J. (2023). Ethical considerations of using chatgpt in health care. Journal of Medical Internet Research, 25, e48009. https://doi.org/10.2196/48009

Weidener, L. (2024). Role of ethics in developing ai-based applications in medicine: insights from expert interviews and discussion of implications. Jmir Ai, 3, e51204. https://doi.org/10.2196/51204

Wu, C. (2023). Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis. BMJ Open, 13(1), e066322. https://doi.org/10.1136/bmjopen-2022-066322

Xiang, A. (2024). Fairness & Privacy in an Age of Generative AI. Science and Technology Law Review, 25(2).

Sarabdeen, J., & Mohamed Ishak, M. M. (2024). A comparative analysis: health data protection laws in Malaysia, Saudi Arabia and EU General Data Protection Regulation (GDPR). International Journal of Law and Management.

Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., ... & Viale, R. (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS nexus, 3(6).

Zakir, M. H., Bashir, S., Nisar, K., Ibrahim, S., Khan, N., & Khan, S. H. (2024). Navigating the Legal Labyrinth: Establishing Copyright Frameworks for AI-Generated Content. Remittances Review, 9(1), 2515-2532.

Zhou, J., Zhang, Y., Luo, Q., Parker, A. G., & De Choudhury, M. (2023, April). Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20).




DOI: https://doi.org/10.5102/rdi.v22i2.9737

ISSN 2236-997X (impresso) - ISSN 2237-1036 (on-line)

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