Publication Type
Journal Article
Version
publishedVersion
Publication Date
9-2025
Abstract
This Article explores how U.S. tort law can respond more effectively to the distinct harms posed by deepfakes, including reputational injury, identity appropriation, and emotional distress. Traditional tort doctrines, such as defamation, the right of publicity, and intentional infliction of emotional distress (IIED), remain fragmented and ill-suited to the speed, scale, and anonymity of deepfake dissemination. Using a comparative functionalist approach, the Article analyzes how China and Singapore respond to deepfake harms through structurally divergent but functionally instructive frameworks. China’s model combines codified personality rights with intermediary obligations under a civil law regime, while Singapore adopts a hybrid approach that integrates common law torts with targeted statutory and administrative interventions. Although neither model is directly replicable in the United States, both offer valuable comparative insights to guide the reform of U.S. tort law. The article advances an integrated governance model for U.S. tort law: reconstructing personality-based torts, repositioning tort law through conditional intermediary liability, and clarifying constitutionally grounded limits for speech-based claims. Drawing on Chinese and Singaporean legal approaches, the Article sets out a comparative reform framework that enables U.S. tort law to better address deepfake harms while safeguarding autonomy and dignity in AI-driven digital environments.
Keywords
deepfakes, tort law, personality rights, intermediary liability, First Amendment, comparative law
Discipline
Torts
Research Areas
Private Law
Publication
Journal of Tort Law
ISSN
1932-9148
Identifier
10.1515/jtl-2025-0028
Publisher
De Gruyter
Citation
PENG, Huijuan and LEE, Pey Woan.
Reimagining U.S. tort law for deepfake harms: Comparative insights from China and Singapore. (2025). Journal of Tort Law.
Available at: https://ink.library.smu.edu.sg/sol_research/4665
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1515/jtl-2025-0028