Paper Number
ICIS2025-1229
Paper Type
Short
Abstract
This study examines the evolution of deepfake governance in the United States and China, two countries with distinct political systems and regulatory philosophies. Using secondary qualitative data, we analyze key societal events, legislative responses, and industry standards to identify patterns in the policymaking processes. We find that perceived risks and power dynamics between governments and industries critically shape regulatory development. In the US, fragmented and reactive governance contrasts with China’s centralized and proactive approach. Our findings challenge binary views of policy presence, instead framing governance as a dynamic and evolving process. Future research will expand the analysis to include the European Union and incorporate stakeholder interviews to deepen understanding. This work contributes to broader discussions on emerging technology governance and offers insights relevant to regulating other AI-driven innovations.
Recommended Citation
Li, Jingyao; Marabelli, Marco; Masiero, Silvia; and Markus, M. Lynne, "Deepfake Governance in the US and China" (2025). ICIS 2025 Proceedings. 2.
https://aisel.aisnet.org/icis2025/is_media/is_media/2
Deepfake Governance in the US and China
This study examines the evolution of deepfake governance in the United States and China, two countries with distinct political systems and regulatory philosophies. Using secondary qualitative data, we analyze key societal events, legislative responses, and industry standards to identify patterns in the policymaking processes. We find that perceived risks and power dynamics between governments and industries critically shape regulatory development. In the US, fragmented and reactive governance contrasts with China’s centralized and proactive approach. Our findings challenge binary views of policy presence, instead framing governance as a dynamic and evolving process. Future research will expand the analysis to include the European Union and incorporate stakeholder interviews to deepen understanding. This work contributes to broader discussions on emerging technology governance and offers insights relevant to regulating other AI-driven innovations.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
23-Media