How Artificial Intelligence Generated Content can be Effectively Regulated: A Technological Governance Framework Based on Algorithm, Data, and Computing Power

Hualin Zhang, Kun Bi and Li Tian

24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies from International Telecommunications Society (ITS)

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.

Keywords: Artificial Intelligence Generated Content; Technological Governance; Governance Framework; Digital Transformation (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-ain and nep-reg
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