From pen to algorithm: optimizing legislation for the future with artificial intelligence

被引:0
|
作者
Hill, Guzyal [1 ]
Waddington, Matthew [2 ]
Qiu, Leon [2 ]
机构
[1] Charles Darwin Univ, Darwin, Australia
[2] Legislat Drafting Off, Comp Readable Legislat Project, St Helier, Jersey, England
关键词
LLM-assisted drafting; Legislation; AI bun; Disinformation; Misinformation; SOCIAL MEDIA; MISINFORMATION;
D O I
10.1007/s00146-024-02062-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This research poses the question of whether it is possible to optimize modern legislative drafting by integrating LLM-based systems into the lawmaking process to address the pervasive challenge of misinformation and disinformation in the age of AI. While misinformation is not a novel phenomenon, with the proliferation of social media and AI, disseminating false or misleading information has become a pressing societal concern, undermining democratic processes, public trust, and social cohesion. AI can be used to proliferate disinformation and misinformation through fake news and deepfakes; can AI also be used for beneficial purposes to develop the antidote legislation combatting these challenges? Leveraging the capabilities of LLMS, such as ChatGPT and others, can present a promising direction for optimizing legislative drafting. By proposing the methodological approach of an AI bun, this article explores an important approach in which LLMS can support lawmakers and policy experts in crafting legislation. The article contributes to the discourse through a nuanced understanding of the opportunities and challenges in harnessing LLM-powered tools for legislative innovation. Ultimately, it underscores the transformative potential of LLMs as a potential resource for lawmakers seeking to navigate decision-making while developing legislation on an example of navigating the intricate landscape of misinformation and disinformation regulation in the age of AI.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] THE UNCONSTITUTIONAL ALGORITHM: ARTIFICIAL INTELLIGENCE AND THE FUTURE OF LIBERTIES
    Simoncini, Andrea
    [J]. BIOLAW JOURNAL-RIVISTA DI BIODIRITTO, 2019, (01): : 63 - 89
  • [2] Artificial Intelligence Legislation Introduced
    不详
    [J]. WELDING JOURNAL, 2020, 99 (06) : 9 - 9
  • [3] Optimizing ultrashort pulse in fiber laser based on artificial intelligence algorithm
    Han, Xiaoxiang
    Huang, Zhiting
    Yue, Jun
    Li, Jun
    Yan, Xiang'an
    Xia, Yanwen
    Zhang, Guoqing
    Zhang, Haiyang
    Xia, Caijuan
    Zhang, Yusheng
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01)
  • [4] On the Application of Artificial Intelligence in Local Legislation
    Wang K.
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [5] Labor Legislation in the Era of Artificial Intelligence
    Gutsu, Svitlana
    Spitsyna, Hanna
    [J]. INTEGRATED COMPUTER TECHNOLOGIES IN MECHANICAL ENGINEERING-2023, VOL 2, ICTM 2023, 2024, 996 : 252 - 270
  • [6] Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
    Nagpal, Mudita
    Siddique, Miran Ahmad
    Sharma, Khushi
    Sharma, Nidhi
    Mittal, Ankit
    [J]. WATER SCIENCE AND TECHNOLOGY, 2024, 90 (03) : 731 - 757
  • [7] Optimizing renewable energy systems through artificial intelligence: Review and future prospects
    Ukoba, Kingsley
    Olatunji, Kehinde O.
    Adeoye, Eyitayo
    Jen, Tien-Chien
    Madyira, Daniel M.
    [J]. ENERGY & ENVIRONMENT, 2024, : 3833 - 3879
  • [8] From Artificial Biology to Artificial Intelligence - and then? The Future of our Evolution
    Dierschke, Hartmut
    [J]. TUEXENIA, 2022, 42 : 418 - 418
  • [9] THE FUTURE OF ARTIFICIAL INTELLIGENCE
    Gensini, Gian Franco
    Graiff, Antonella
    Scarpa, Nicoletta
    [J]. GIORNALE ITALIANO DI CARDIOLOGIA, 2023, 24 (11) : 933 - 933
  • [10] The Future of Artificial Intelligence
    Dhar, Vasant
    [J]. BIG DATA, 2016, 4 (01) : 5 - 9