How Artificial Intelligence Generated Content can be Effectively Regulated: A Technological Governance Framework Based on Algorithm, Data, and Computing Power
Year: 2024
Type: preprint
Abstract: Artificial Intelligence Generated Content (AIGC) encompasses content classification, production methods, and technologies for automated content generation. The emergence of ChatGPT has accelerated the growth of AIGC, emphasizing the need for proper governance to prevent crises. The technical advancement of AIGC has revolutionized media content and production mechanisms, challenging traditional governance paradigms. This study delves into the technical aspects of AIGC governance, focusing on algorithms, data, and computational power. AIGC relies on massive data collection, iterative digital modeling, and large-scale computation for autonomous content generation, reflecting its evolution to maturity. A tailored governance framework will guide future AIGC development effectively.
Authors: Zhang, Hualin, Bi, Kun, Tian, Li
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7038605813