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

Author

Listed:
  • Zhang, Hualin
  • Bi, Kun
  • Tian, Li

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.

Suggested Citation

  • Zhang, Hualin & Bi, Kun & Tian, Li, 2024. "How Artificial Intelligence Generated Content can be Effectively Regulated: A Technological Governance Framework Based on Algorithm, Data, and Computing Power," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302520, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb24:302520
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    1. Brady D. Lund & Ting Wang & Nishith Reddy Mannuru & Bing Nie & Somipam Shimray & Ziang Wang, 2023. "ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(5), pages 570-581, May.
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