Regulating deepfakes between Lex Lata and Lex ferenda—a comparative analysis of regulatory approaches in the U.S., the EU and China.
Deepfake, which uses artificial intelligence to create highly realistic but false content, can spread rapidly through the Internet, causing damage to both individual rights and social interests. In response, the United States, the European Union, and China have taken the application scenario, life c...
| Publicado en: | Crime, Law & Social Change Vol. 83; no. 1; pp. 1 - 24 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=182074618&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 182074618 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 09254994 CRG jtl: Crime, Law & Social Change issn: 09254994 maglogo: N pubinfo: dt: Jun2025 vid: 83 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 182074618 10.1007/s10611-024-10197-z ppf: 1 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1015KB tig: atl: Regulating deepfakes between Lex Lata and Lex ferenda—a comparative analysis of regulatory approaches in the U.S., the EU and China. aug: au: Zheng, Guan Shu, Jinchun Li, Kaigeng affil: https://ror.org/00a2xv884 Guanghua Law School, Zhejiang University, Hangzhou, China https://ror.org/0190ak572 School of Law, New York University, New York, NY, USA School of Media and Law, NingboTech University, Ningbo, China su: Artificial intelligence Digital technology Life cycles (Biology) Deepfakes Technological risk assessment sug: subj: Artificial intelligence Digital technology Life cycles (Biology) Deepfakes Technological risk assessment keyword: Deepfake Digital ecosystem Information literacy Law and Legal Studies Law Platform regulation Regulatory paradigms Deepfake Digital ecosystem Information literacy Law and Legal Studies Law Platform regulation Regulatory paradigms ab: Deepfake, which uses artificial intelligence to create highly realistic but false content, can spread rapidly through the Internet, causing damage to both individual rights and social interests. In response, the United States, the European Union, and China have taken the application scenario, life cycle, and responsible subjects of deepfake as the regulatory focus point, thus forming three different regulatory paradigms. The United States adopts an application-based regulatory paradigm, primarily focusing on the use of deepfakes in elections and pornography. The European Union regulates deepfake at different phases through multiple laws and regulations, presenting a life cycle-based regulatory paradigm. China takes the service provider of deepfakes as the subject of regulation and requires it to bear a series of responsibilities, forming a subject-based regulatory paradigm. While these three paradigms deter and mitigate illegal deepfake activities to some extent, they have inherent limitations. From the perspective of the digital ecosystem, current regulation only focuses on content producers, service providers, and distribution platforms but overlooks the significant role of the deepfake audience. By improving the information literacy of the audience, it is possible to enable the audience to effectively identify deepfakes, curtail the spread of harmful and illegal deepfakes, and minimize their impact on victims, thus striking a balance between reducing risk and promoting technological development. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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