The obligation of network security management in the era of deep falsification: the legal, judicial and policy implications of artificial intelligence abuse.
The diffusion of deepfake technology has reshaped the structure of online risks and posed new institutional demands on existing network security management obligations. From a risk-oriented perspective, this article constructs a quantitative model for assessing artificial intelligence misuse risks a...
| Published in: | Crime, Law & Social Change Vol. 84; no. 1; pp. 1 - 19 |
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| Main Authors: | , |
| Format: | Article |
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Springer Nature
7/14/2026
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=195342562&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195342562 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: 7/14/2026 vid: 84 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 195342562 10.1007/s10611-026-10299-w ppf: 1 ppct: 18 formats: tig: atl: The obligation of network security management in the era of deep falsification: the legal, judicial and policy implications of artificial intelligence abuse. aug: au: Guo, Kai Qiu, Yaxian affil: Department of Law, Shanxi Police College, National Security Key Areas Public Opinion Risk Research Center, 030401, Taiyuan, China Department of Criminal Investigation, Shanxi Police College, National Security Key Areas Public Opinion Risk Research Center, 030401, Taiyuan, China su: Government policy Legal judgments Artificial intelligence Legal liability Risk assessment Scientific method Computer network security sug: subj: Government policy Legal judgments Artificial intelligence Legal liability Risk assessment Scientific method Computer network security keyword: Artificial intelligence and the rule of law Deepfakes Network security management obligations Risk-oriented governance Artificial intelligence and the rule of law Deepfakes Network security management obligations Risk-oriented governance ab: The diffusion of deepfake technology has reshaped the structure of online risks and posed new institutional demands on existing network security management obligations. From a risk-oriented perspective, this article constructs a quantitative model for assessing artificial intelligence misuse risks and employs simulation-based experiments to systematically analyse governance outcomes under different levels of management obligations. The findings indicate that response timeliness, institutionalized procedures, and evidence preservation play a decisive role in damage mitigation, while reliance on technical detection alone is insufficient to achieve effective governance. The simulation model assesses the four types of governance systems for deepfake misuse across different scenarios through 10,000 iterations of the simulation experiment. Based on the experimental results, the article proposes a risk-tiered configuration of network security management obligations, providing empirical support for judicial determinations of the duty of reasonable care and for policy-level collaborative governance. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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