• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过国家监管应对人工智能驱动的虚假信息:以乌克兰为例

Countering AI-powered disinformation through national regulation: learning from the case of Ukraine.

作者信息

Marushchak Anatolii, Petrov Stanislav, Khoperiya Anayit

机构信息

International Information Academy, Kyiv, Ukraine.

The Institute of Special Communication and Information Protection of the National Technical University of Ukraine "Ihor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

出版信息

Front Artif Intell. 2025 Jan 7;7:1474034. doi: 10.3389/frai.2024.1474034. eCollection 2024.

DOI:10.3389/frai.2024.1474034
PMID:39839969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11747593/
Abstract

Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can take and channels for its proliferation. In this context, the future of legal mechanisms to address AI-powered disinformation remains to be determined. Additional complexity for legislators working in the field arises from the need to harmonize national legal frameworks of democratic states with the need for regulation of potentially dangerous digital content. In this paper, we review and analyze some of the recent discussions concerning the use of legal regulation in addressing AI-powered disinformation and present the national case of Ukraine as an example of developments in the field. We develop the discussion through an analysis of the existing counter-disinformation ecosystems, the EU and US legislation, and the emerging regulations of AI systems. We show how the Ukrainian Law on Counter Disinformation, developed as an emergency response to internationally recognized Russian military aggression and hybrid warfare tactics, underscores the crucial need to align even emergency measures with international law and principles of free speech. Exemplifying the Ukrainian case, we argue that the effective actions necessary for countering AI-powered disinformation are prevention, detection, and implementation of a set of response actions. The latter are identified and listed in this review. The paper argues that there is still a need for scaling legal mechanisms that might enhance top-level challenges in countering AI-powered disinformation.

摘要

人工智能应用的进步导致了虚假信息呈现出更多样的形式及其传播渠道的增加。在这种背景下,应对人工智能驱动的虚假信息的法律机制的未来仍有待确定。该领域的立法者面临的额外复杂性源于需要将民主国家的国家法律框架与对潜在危险数字内容进行监管的需求相协调。在本文中,我们回顾并分析了近期一些关于使用法律监管来应对人工智能驱动的虚假信息的讨论,并以乌克兰的国家案例为例展示该领域的发展情况。我们通过分析现有的反虚假信息生态系统、欧盟和美国的立法以及人工智能系统的新兴监管措施来展开讨论。我们展示了作为对国际公认的俄罗斯军事侵略和混合战争策略的紧急应对而制定的乌克兰《反虚假信息法》,如何强调了即使是紧急措施也必须符合国际法和言论自由原则的关键必要性。以乌克兰的案例为例,我们认为应对人工智能驱动的虚假信息所需的有效行动包括预防、检测以及实施一系列应对行动。后者在本综述中已被识别并列出。本文认为,仍需要扩大法律机制,这可能会增强应对人工智能驱动的虚假信息方面的顶级挑战。

相似文献

1
Countering AI-powered disinformation through national regulation: learning from the case of Ukraine.通过国家监管应对人工智能驱动的虚假信息:以乌克兰为例
Front Artif Intell. 2025 Jan 7;7:1474034. doi: 10.3389/frai.2024.1474034. eCollection 2024.
2
Fighting trafficking of falsified and substandard medicinal products in Russia.打击俄罗斯假药和劣药的非法交易。
Int J Risk Saf Med. 2015;27 Suppl 1:S37-40. doi: 10.3233/JRS-150681.
3
Emotional prompting amplifies disinformation generation in AI large language models.情感提示会放大人工智能大语言模型中的虚假信息生成。
Front Artif Intell. 2025 Apr 7;8:1543603. doi: 10.3389/frai.2025.1543603. eCollection 2025.
4
Fighting the 'Infodemic': Legal Responses to COVID-19 Disinformation.抗击“信息疫情”:针对新冠疫情虚假信息的法律应对措施
Soc Media Soc. 2020 Jul 30;6(3):2056305120948190. doi: 10.1177/2056305120948190. eCollection 2020 Jul.
5
OLTW-TEC: online learning with sliding windows for text classifier ensembles.OLTW-TEC:用于文本分类器集成的带滑动窗口的在线学习
Front Artif Intell. 2024 Sep 11;7:1401126. doi: 10.3389/frai.2024.1401126. eCollection 2024.
6
Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance: Weapons of Mass Disinformation.健康类虚假信息用例凸显了人工智能监管的迫切需求:大规模虚假信息的武器。
JAMA Intern Med. 2024 Jan 1;184(1):92-96. doi: 10.1001/jamainternmed.2023.5947.
7
The defalsif-AI project: protecting critical infrastructures against disinformation and fake news.Defalsif-AI项目:保护关键基础设施免受虚假信息和假新闻的影响。
Elektrotech Informationstechnik. 2021;138(7):480-484. doi: 10.1007/s00502-021-00929-7. Epub 2021 Sep 17.
8
Advertising of medical devices: foreign experience and Ukrainian practice.医疗器械广告:国外经验与乌克兰实践
Wiad Lek. 2017;70(3 pt 1):456-461.
9
Responses to digital disinformation as part of hybrid threats: a systematic review on the effects of disinformation and the effectiveness of fact-checking/debunking.作为混合威胁一部分的数字虚假信息应对措施:关于虚假信息影响及事实核查/辟谣有效性的系统综述
Open Res Eur. 2022 Jan 13;2:8. doi: 10.12688/openreseurope.14088.1. eCollection 2022.
10
Enhancing education for children with ASD: a review of evaluation and measurement in AI tool implementation.加强自闭症谱系障碍儿童的教育:人工智能工具实施中的评估与测量综述
Disabil Rehabil Assist Technol. 2025 Mar 13:1-18. doi: 10.1080/17483107.2025.2477678.

本文引用的文献

1
Corrigendum to "A rare case: Transcatheter coil embolization in a patient with cystic duct stump injury following cholecystectomy" [Radiol Case Rep J. 2025;1(20) 406-409].《“一例罕见病例:胆囊切除术后胆囊管残端损伤患者的经导管弹簧圈栓塞术”的勘误》[《放射病例报告杂志》。2025年;1(20) 406 - 409]
Radiol Case Rep. 2024 Nov 30;20(2):1150. doi: 10.1016/j.radcr.2024.11.003. eCollection 2025 Feb.
2
Development of a Prognostic Nomogram for Nonneutropenic Invasive Pulmonary Aspergillosis Based on Machine Learning.基于机器学习的非中性粒细胞减少侵袭性肺曲霉病预后列线图的开发
J Inflamm Res. 2024 Nov 26;17:9823-9835. doi: 10.2147/JIR.S499008. eCollection 2024.
3
On the correct lectotype for Marmessoidea unicolor Redtenbacher, 1908 (Insecta: Phasmatodea).关于 Marmessoidea unicolor Redtenbacher, 1908(昆虫纲:直翅目)的正确正模。
Zootaxa. 2023 Oct 27;5360(3):448-450. doi: 10.11646/zootaxa.5360.3.8.
4
AI model GPT-3 (dis)informs us better than humans.人工智能模型 GPT-3 比人类更能提供信息。
Sci Adv. 2023 Jun 28;9(26):eadh1850. doi: 10.1126/sciadv.adh1850.
5
Automatic detection of influential actors in disinformation networks.自动检测虚假信息网络中的有影响力的行为者。
Proc Natl Acad Sci U S A. 2021 Jan 26;118(4). doi: 10.1073/pnas.2011216118.
6
Misinformation and Its Correction: Continued Influence and Successful Debiasing.错误信息及其纠正:持续影响与成功去偏倚
Psychol Sci Public Interest. 2012 Dec;13(3):106-31. doi: 10.1177/1529100612451018.