Citation

Izani, Mohd and Razak, A. and Rehad, D. and Rosli, M. (2024) The Impact of Artificial Intelligence on Animation Filmmaking: Tools, Trends, and Future Implications. In: 2024 International Visualization, Informatics and Technology Conference (IVIT), 07-08 August 2024, Kuala Lumpur, Malaysia.

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Abstract

Artificial intelligence (AI) is transforming the animation film industry. This research explores AI's impact at all levels: from AI-driven tools and techniques to changes in creative processes and professional relationships. It will analyze existing and emerging AI-driven film-making techniques, such as procedural generation, AI-enhanced motion capture, and deep learning implementation. Both benefits and limitations will be examined, focusing on technical capabilities and creative capacities. Each new technique will be compared to its traditional counterpart regarding cost-effectiveness, time efficiency, and creative enhancement. Additionally, the research will consider AI integration's societal effects: whether it increases human productivity or dehumanizes jobs by narrowing stylistic variety. Ethical issues related to the extreme use of machinery, such as biases, will also be addressed. This work aims to navigate the fine line between human ingenuity and advanced machinery, presenting imaginative narrative possibilities while emphasizing AI's advantages. Automation should enhance animators' distinctiveness, not eradicate it, ensuring that the fundamental pillar of unique storytelling remains intact. The findings will guide future innovations, respecting the intrinsic value of human creativity that has shaped storytelling for centuries. This research aims to make a significant contribution to the growth and evolution of the animation film industry in the age of AI.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Artificial intelligence, animation, 3D, filmmaking, human-ai collaboration
Subjects:	N Fine Arts > N Visual arts
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Nov 2024 02:18
Last Modified:	04 Nov 2024 02:18
URII:	http://shdl.mmu.edu.my/id/eprint/13133

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