Artificial Intelligence Generated Content (AIGC) is transforming content creation across multiple domains, including marketing, education, and public health. This phenomenon showcases the potential for AI to generate content that rivals human creativity in quality and efficiency. However, the paper emphasizes a significant research gap in understanding the latest developments and challenges associated with AIGC.
The authors, comprising 16 scholars from various fields, aim to provide a comprehensive overview of AIGC’s training techniques, use across digital platforms, and detection methods. The societal implications of AIGC are explored, shedding light on how these technologies are shaping interactions in different contexts. Furthermore, the paper outlines key technical difficulties in the deployment of AIGC and suggests research proposals to stimulate further inquiry into this evolving subject.
👉 Pročitaj original: arXiv AI Papers
