Regulating Generative Artificial Intelligence Conference
生成式人工智能監管會議
Panel 1: Content Moderation Issues
Content moderation has taken center stage in China’s efforts to mitigate generative AI risks. Over the past decade, China has crafted a comprehensive regulatory framework to closely monitor online information, involving all key stakeholders in the internet ecosystem. What specific requirements does China’s content regulation impose on the AI industry? How have these requirements affected the operation of AI companies? How have Chinese regulators overseen AI-generated content? What steps are AI companies taking to balance content moderation with the need for high-quality, diverse training data to enhance AI performance?
Speakers:
Ke Xu (Director of Digital Economy and Legal Innovation Research Center, University of International Business and Economics)
Peng Zhang (Senior Public Policy Expert, ByteDance)
Michael Veale (Associate Professor of Law, University College London)
Zhuo Chen (Managing Partner, Ameba Capital)
單元一：內容監管問題
內容監管是中國對生成式人工智能進行規制的主要手段。 過去十年，中國建立了一套全面的網絡信息監管框架，涵蓋了互聯網生態系統中的所有主要利益相關方。 中國的內容監管對人工智能產業提出了哪些具體要求？這些要求對人工智能公司的運營將產生什麼影響？中國監管機構又如何實現對人工智能生成內容的監管？同時，人工智能公司正採取哪些措施來平衡內容合規與高質量、多樣化訓練數據的需求，以提升人工智能的性能？
講者:
許 可 (對外經濟貿易大學數字經濟與法律創新研究中心主任)
張 鵬 (字節跳動公共政策高級研究員)
Michael Veale (倫敦大學學院法學院副教授)
陳 卓 (阿米巴資本合夥人)
Philip K.H. Wong Centre for Chinese Law (香港大學法律學院黃乾亨中國法研究中心) at The University of Hong Kong promotes legal scholarship with the aim to develop a deeper understanding of China and facilitate dialogue between East and West. For more information, visit: https://www.ccl.law.hku.hk/
