Automated Propaganda: Labeling AI-Generated Political Content Should Not be Required by Law

被引:0
|
作者
Chomanski, Bartlomiej [1 ]
Lauwaert, Lode [2 ]
机构
[1] Adam Mickiewicz Univ, Dept Philosophy, Poznan, Poland
[2] Katholieke Univ Leuven, Inst Philosophy, Leuven, Belgium
关键词
NEWS;
D O I
10.1111/japp.70002
中图分类号
B82 [伦理学(道德学)];
学科分类号
摘要
A number of scholars and policy-makers have raised serious concerns about the impact of chatbots and generative artificial intelligence (AI) on the spread of political disinformation. An increasingly popular proposal to address this concern is to pass laws that, by requiring that artificially generated and artificially disseminated content be labeled as such, aim to ensure a degree of transparency in this rapidly transforming environment. This article argues that such laws are misguided, for two reasons. We first aim to show that legally requiring the disclosure of the automated nature of bot accounts and AI-generated content is unlikely to succeed in improving the quality of political discussion on social media. This is because information that an account spreading or creating political information is a bot or a language model is itself politically relevant information, and people reason very poorly about such information. Second, we aim to show that the main motivation for these laws - the threat of coordinated disinformation campaigns (automated or not) - appears overstated.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Ethical Boundaries in AI-Generated Imagery: Analysis of Controversial Content Constraints
    Florindi, Emanuele
    Franzoni, Valentina
    Milani, Alfredo
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2024 WORKSHOPS, PT XI, 2024, 14825 : 292 - 302
  • [42] Federated Learning-Empowered AI-Generated Content in Wireless Networks
    Huang, Xumin
    Li, Peichun
    Du, Hongyang
    Kang, Jiawen
    Niyato, Dusit
    Kim, Dong In
    Wu, Yuan
    IEEE NETWORK, 2024, 38 (05): : 304 - 313
  • [43] The Balance Between Personal Tone and AI-Generated Content in Academic Communication
    Koga, Shunsuke
    Du, Wei
    ANNALS OF SURGICAL ONCOLOGY, 2025, : 3447 - 3448
  • [44] Preventative studies should begin now for detecting AI-generated microscopy images
    Du, Jingshan S.
    Zhang, Mingyi
    MATTER, 2023, 6 (06) : 1673 - 1674
  • [45] Infringing AI: Liability for AI-Generated Outputs under International, EU, and UK Copyright Law
    Rosati, Eleonora
    EUROPEAN JOURNAL OF RISK REGULATION, 2024,
  • [46] Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text
    Ahmed M. Elkhatat
    Khaled Elsaid
    Saeed Almeer
    International Journal for Educational Integrity, 19
  • [47] Graduate Education in China Meets AI: Key Factors for Adopting AI-Generated Content Tools
    Tang, Yunjie
    Su, Li
    LIBRI-INTERNATIONAL JOURNAL OF LIBRARIES AND INFORMATION STUDIES, 2024,
  • [48] Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text
    Elkhatat, Ahmed M.
    Elsaid, Khaled
    Almeer, Saeed
    INTERNATIONAL JOURNAL FOR EDUCATIONAL INTEGRITY, 2023, 19 (01)
  • [49] Hybrid digital authoritarianism in Turkey: the 'Censorship Law' and AI-generated disinformation strategy
    Yucel, Alev
    TURKISH STUDIES, 2025, 26 (01) : 1 - 27
  • [50] Human vs. Machine: A Comparative Study on the Detection of AI-Generated Content
    Tadjine, Amal bou
    Harrag, Fouzi
    Shaalan, Khaled
    ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2025, 24 (02)