Advances in artificial intelligence: a review for the creative industries

Area of Science:

• Computer Science
• Artificial Intelligence
• Creative Technologies

Background:

• Recent AI advancements since 2022, particularly generative AI, LLMs, and diffusion models, have significantly impacted creative industries.
• Existing reviews lack comprehensive coverage of these integrated breakthroughs across the creative production pipeline.

Purpose of the Study:

• To systematically review emergent AI technologies and their applications in creative fields since 2022.
• To analyze the shift of AI from a support tool to a core creative technology.
• To examine the evolving landscape of human-AI collaboration and identify emerging challenges.

Main Methods:

• Systematic literature review of AI technologies and their applications in creative production.
• Analysis of advancements in transformers, LLMs, diffusion models, and implicit neural representations.
• Examination of trends in unified AI frameworks and human-AI collaboration.

Main Results:

• AI technologies now offer new capabilities in text-to-image/video generation, 3D reconstruction, and multi-task frameworks.
• A trend towards unified AI frameworks integrating multiple creative tasks is observed.
• Human oversight is crucial for creative direction and mitigating AI hallucinations.

Conclusions:

• AI is transforming creative industries, moving beyond support roles to become integral creative technologies.
• Emerging challenges include copyright, bias, computational costs, and regulatory needs.
• This review provides a comprehensive understanding of current AI capabilities, limitations, and future trajectories in creative applications.