RECONCEPTUALIZING INTELLECTUAL PROPERTY IN AI-GENERATED CONTENT WITH ETHICAL AND LEGAL IMPLICATIONS FOR MALAYSIAN DESIGNERS

Authors

  • RAINAL HIDAYAT WARDI College of Creative Arts, Universiti Teknologi MARA (UiTM), Selangor, Malaysia.
  • KHAIRI KHALID College of Engineering, Universiti Teknologi MARA (UiTM) Pahang Branch, Pahang, Malaysia.
  • RUSMADIAH ANWAR College of Creative Arts, Universiti Teknologi MARA (UiTM), Selangor, Malaysia.
  • FARADIBA LIANA NASER College of Creative Arts, Universiti Teknologi MARA (UiTM), Selangor, Malaysia.

DOI:

https://doi.org/10.55197/qjssh.v6i4.802

Keywords:

AI-generated content, intellectual property rights, ethical governance in AI, MyIPO regulatory framework, authorship and ownership in AI

Abstract

Artificial intelligence (AI) in the creation of audio, video, and visual (AVV) content is a risk to conventional ideas of authorship and ownership in intellectual property (IP) law. This report discusses the legal and ethical implications of AI work on Malaysian designers, highlighting gaps in current IP laws that are still human-centered and inadequate for regulating AI creativity. Taking a mixed-methods research approach (to include an analysis of legal documents, interviews with experts, and surveys of the stakeholders), the research has identified the presence of high uncertainty levels related to the right to authorship, consent to use data, and moral responsibility. To implement the policy change, considering the Utilitarian Theory of Intellectual Property, the AI Ethics, and the Compliance Theory, we propose the following conceptual framework that must lead to the reformulation of the policy with the introduction of the elements of bioethics and virtue ethics to create transparent and fair attribution systems. The findings underscore the need for a Malaysian IP system, and more specifically, for the Malaysian Intellectual Property Organization (MyIPO) to adopt AI-sensitive regulations and codes of conduct. It has been proposed to design systems of content authentication, universal ethical guidelines, and inter-agency collaborations, both to protect innovation and the rights of the creators. This paper provides a step-by-step roadmap for transforming IP governance in Malaysia, offering a way to achieve a balance between technological innovations, legal certainty, and cultural understanding in AI-based creative industries.

References

[1] Batlle-Roca, R., Gomez, E., Liao, W., Serra, X., Mitsufuji, Y. (2023): Transparency in music-generative AI: A systematic literature review. – Research Square 34p.

[2] Cebi, E., Reisoglu, P., Goktas, E. (2023): The influence of artificial intelligence on copyright law. – International Social Science and Law Policy 2(2): 33-41.

[3] Floridi, L., Cowls, J. (2019): A unified framework of five principles for AI in society. – Nature Machine Intelligence 1(1): 65-67.

[4] Hoque, F. (2024): Is artificial intelligence possibly taking over designers' jobs in the future? – International Journal of Science and Business 31(1): 26-35.

[5] Hu, Y. (2023): Literature in the age of artificial intelligence. – In Proceedings of the 3rd International Conference on Education, Language, Art and Intercultural Communication, Atlantis Press 7p.

[6] Jing-Jing, W., Mao, W., Wenjie, W. (2023): The ethics of artificial intelligence: Sociopolitical and legal dimensions. – International Social Science and Law Policy 2(2): 27-32.

[7] Jobin, A., Ienca, M., Vayena, E. (2019): The global landscape of AI ethics guidelines. – Nature Machine Intelligence 1(9): 389-399.

[8] Lee, H., Luo, M. (2024): Transforming creative process: A systematic literature review of discourse on AI image generators. – Proceedings of the Association for Information Science and Technology 61(1): 986-988.

[9] Mahingoda, C. (2024): Challenges and frontiers in intellectual property rights amidst the rise of artificial intelligence. – SLIIT Journal of Humanities and Sciences 4(2): 1-16.

[10] Nyaboke, Y. (2024): Intellectual property rights in the era of artificial intelligence. – Journal of Modern Law and Policy 4(2): 57-72.

[11] Poredi, N., Sudarsan, M., Solomon, E., Nagothu, D., Chen, Y. (2024): Generative adversarial networks-based AI-generated imagery authentication using frequency domain analysis. – In Disruptive Technologies In Information Sciences SPIE VIII 13058: 376-390.

[12] Putri, R., Nursalamah, P., Monica, A., Putri, D. (2024): Penguatan hukum hak cipta atas karya seni buatan AI di Indonesia dalam rangka penguatan sektor industri kreatif 5.0. – Wacana Hukum 30(1): 1-16.

[13] Rudnicka, Z., Szczepanski, J., Pręgowska, A. (2024): Artificial intelligence-based algorithms in medical image scan segmentation and intelligent audio, video, and visual content generation: A concise overview. – Electronics 13(4): 35p.

[14] Watkins, R., Barak-Medina, E. (2024): AI’s Influence on Human Creative Agency. – Creativity Research Journal 13p.

[15] Xue, F. (2024): AI integration in creative industries: Challenges and opportunities. – Applied and Computational Engineering 104(1): 21-27.

[16] Zheng, Y. (2023): Redefining rights in the age of AI: Philosophical perspectives in shaping the future of international human rights law. – Lecture Notes in Education, Psychology and Public Media 16(1): 124–132.

[17] Zhou, E., Lee, D. (2024): Generative artificial intelligence, human creativity, and art. – PNAS Nexus 3(3): 8p.

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Published

2025-08-31

Issue

Section

Articles

How to Cite

RECONCEPTUALIZING INTELLECTUAL PROPERTY IN AI-GENERATED CONTENT WITH ETHICAL AND LEGAL IMPLICATIONS FOR MALAYSIAN DESIGNERS. (2025). Quantum Journal of Social Sciences and Humanities, 6(4), 479-492. https://doi.org/10.55197/qjssh.v6i4.802