A QUALITATIVE STUDY ON MACHINE–HUMAN CO-CREATION: A SECONDARY DATA ANALYSIS OF RESEARCH TRENDS

  • Sheik Mohamed Department of Visual Communication, S.A College of Arts and Science, Chennai, India
  • Dr. Nirmala Department of Visual Communication, VISTAS, Chennai, India.
  • Sam Hermansyah Universitas Muhammadiyah Sidenrang Rappang, Indonesia
  • Nur Rahmah Wahyuddin Universitas Ichsan Sidenreng Rappang
Keywords: Artificial Intelligence, Machine-Human Co-Creation, Creativity, Generative Models, Co-Authorship, Ethics

Abstract

The intersection of artificial intelligence (AI) and human creativity has emerged as a dynamic area of exploration, particularly with the development of generative AI models like GPT-4, DALL·E, and MidJourney. These tools not only automate tasks but also actively contribute to creative processes, resulting in collaborative co-creation between humans and machines. This study investigates the evolving role of AI in creative industries, analyzing secondary data from literature published between 2022 and 2025. By examining key theoretical frameworks, methodologies, and trends, the study identifies the methodological shift from experimental design to reflective frameworks, highlights a lack of unified definitions for co-creation, and emphasizes the growing need to engage with the cultural and ethical implications of AI in creativity. The research contributes to a deeper understanding of machine–human co-creation, its implications for authorship, and the future trajectory of creative partnerships between humans and AI.

References

Abdul Jalil Jum’uatullaila, Buhari, Syahrir L, & Sam Hermansyah. (2025). The Influences of Using Quizizz in Student’s English Learning Outcomes. INTERACTION: Jurnal Pendidikan Bahasa, 12(1), 1030–1040. https://doi.org/10.36232/interactionjournal.v12i1.3526
Boden, M. A. (2023). Creativity and Artificial Intelligence: Rethinking the Human Role. Journal of Cognitive Science, 18(2), 123–140.
Boden, M. A. (2023). Creativity and Artificial Intelligence: Rethinking the Human Role. Journal of Cognitive Science, 18(2), 123–140.
Brown, T. (2022). Change by Design: How Design Thinking Creates New Alternatives for Business and Society. Harper Business.
Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2023). Creative Adversarial Networks: Generating Art Through Deviation from Learned Style Norms. Artificial Intelligence, 266, 55–77.
Hutchings, P., Gifford, T., & McCormack, J. (2022). Machine Creativity: An Interdisciplinary Approach to Understanding AI and the Arts. Digital Creativity, 32(4), 242–259.
McCormack, J., Gifford, T., & Hutchings, P. (2023). Autonomy, Authenticity, and Co-Creation in Artificial Intelligence Art. Digital Creativity, 33(1), 15–29.
Manovich, L. (2022). AI and Media Aesthetics: The New Visual Language. New Media & Society, 24(3), 567–584.
Zhou, J., & Lee, K. (2025). Human-AI Collaboration in Digital Art: Opportunities and Ethical Challenges. International Journal of Human-Computer Studies, 171, 102988.
Boden, M. A. (2023). Creativity and Artificial Intelligence: Rethinking the Human Role. Journal of Cognitive Science, 18(2), 123–140.
Brown, T. (2022). Change by Design: How Design Thinking Creates New Alternatives for Business and Society. Harper Business.
Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2023). Creative Adversarial Networks: Generating Art Through Deviation from Learned Style Norms. Artificial Intelligence, 266, 55–77.
Hutchings, P., Gifford, T., & McCormack, J. (2022). Machine Creativity: An Interdisciplinary Approach to Understanding AI and the Arts. Digital Creativity, 32(4), 242–259.
McCormack, J., & Hutchings, P. (2022). Human-AI Collaboration in Creative Fields: New Opportunities and Challenges. International Journal of Creative Technology, 29(3), 112–125.
McCormack, J., Gifford, T., & Hutchings, P. (2023). Autonomy, Authenticity, and Co-Creation in Artificial Intelligence Art. Digital Creativity, 33(1), 15–29.
Nur Sadriana Syahrir, Syamsu T, Nurul Faradillah, & Sam Hermansyah. (2025). Exploring the Effectiveness of Personal Vocabulary Note in Enhancing English Vocabulary Mastery at SMPN 1 Baranti. INTERACTION: Jurnal Pendidikan Bahasa, 12(1), 1126–1134.
Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2023). Creative Adversarial Networks: Generating Art Through Deviation from Learned Style Norms. Artificial Intelligence, 266, 55–77.
Hutchings, P., Gifford, T., & McCormack, J. (2022). Machine Creativity: An Interdisciplinary Approach to Understanding AI and the Arts. Digital Creativity, 32(4), 242–259.
McCormack, J., Gifford, T., & Hutchings, P. (2023). Autonomy, Authenticity, and Co-Creation in Artificial Intelligence Art. Digital Creativity, 33(1), 15–29.
McCormack, J., & Hutchings, P. (2022). Human-AI Collaboration in Creative Fields: New Opportunities and Challenges. International Journal of Creative Technology, 29(3), 112–125.
Sam Hermansyah, & Ahmad Rizal Majid. (2025). The Use of Probing-Prompting Technique to Improve Reading Comprehension of Eighth Grade Students. INTERACTION: Jurnal Pendidikan Bahasa, 12(1), 543–556. https://doi.org/10.36232/interactionjournal.v12i1.2660
Zhou, J., & Lee, K. (2025). Human-AI Collaboration in Digital Art: Opportunities and Ethical Challenges. International Journal of Human-Computer Studies, 171, 102988.
Published
2025-08-11
How to Cite
Mohamed, S., Nirmala, D., Hermansyah, S., & Wahyuddin, N. R. (2025). A QUALITATIVE STUDY ON MACHINE–HUMAN CO-CREATION: A SECONDARY DATA ANALYSIS OF RESEARCH TRENDS. La Ogi : English Language Journal, 11(2), 124-132. https://doi.org/10.55678/loj.v11i2.2255
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.