Challenges of Recent Developments in the Field of Artificial Intelligence to Future Civil Law Legislation and Practice
DOI:
https://doi.org/10.63410/olr2026/06საკვანძო სიტყვები:
Artificial Intelligence (AI), Civil Law, Liability,, Privacy, Smart Contracts,, Intellectual Property (IP) Rightsანოტაცია
The swift advancement of artificial intelligence (AI) has brought about significant transformations in a number of fields, including law. AI has had a big impact on civil law, a fundamental area of legal systems around the world, in areas including dispute resolution, liability, contract formulation, and privacy. The development of artificial intelligence, its main uses in civil law, and the
opportunities and problems that have arisen, are all covered in this article. It offers insights into how legal systems are adjusting to AI’s increasing presence, and the necessity of future regulation to address ethical and legal problems, by examining case studies and current legislative frameworks.
##plugins.generic.usageStats.downloads##
წყაროები
Acosta R., Artificial Intelligence and Authorship Rights, Harvard Journal of Law & Technology, 2012, <https://jolt.law.harvard.edu/digest/artificial-intelligence-and-authorship-rights> [24.07.2025].
Almada M., Law & Compliance in AI Security & Data Protection, European Data Protection Board, 2024, <https://www.edpb.europa.eu/system/files/2025-06/spe-training-on-ai-and-data-protection-legal_en.pdf> [24.07.2025].
American Law Institute, Restatement (Third) of Torts: Liability for Physical and Emotional Harm, St. Paul, 1998.
Angwin J., Larson J., Mattu S., Kirchner L., Machine Bias: Risk Assessments in Criminal Sentencing, ProPublica, 2016, <https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing> [24.07.2025].
Bertolini A., Artificial Intelligence and Civil Liability: A European Perspective, European Parliament, Brussels, 2025.
Bertolini A., Artificial Intelligence and Civil Liability, Brussels, 2020.
Binns R., Fairness in Machine Learning: Lessons from Political Philosophy, Proceedings of the Conference on Fairness, Accountability and Transparency, journal “Proceedings of Machine Learning Research”, Vol. 81, 2018.
Brown T., Mann B., Ryder N. et al., Language Models Are Few-Shot Learners, journal “Advances in Neural Information Processing Systems”, Vol. 33, 2020.
Brynjolfsson E., McAfee A., The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, London, 2014.
Bryson J.J., Diamantis M.E., Grant T.D., Of, For, and By the People: The Legal Lacuna of Synthetic Persons, journal “Artificial Intelligence and Law”, Vol. 25, 2017. DOI: https://doi.org/10.1007/s10506-017-9214-9
Calo R., Artificial Intelligence Policy: A Primer and Roadmap, journal “U.C. Davis Law Review”, Vol. 51, No. 2, 2017. DOI: http://dx.doi.org/10.2139/ssrn.3015350
Cheng J., Zeng J., Shaping AI’s Future? China in Global AI Governance, Journal of Contemporary China, Vol. 32, No. 143, 2022. DOI: https://doi.org/10.1080/10670564.2022.2107391
Cheong B. C., Transparency and Accountability in AI systems: Safeguarding Wellbeing in the Age of Algorithmic Decision-Making, journal “Frontiers in Human Dynamics”, Vol. 6, 2024. DOI: https://doi.org/10.3389/fhumd.2024.1421273
Clarke R., Principles and Business Processes for Responsible AI, journal “Computer Law & Security Review”, Vol. 35, No. 4, 2019. DOI: https://doi.org/10.1016/j.clsr.2019.04.007
Cuntz A., Fink C., Stamm H., Artificial Intelligence and Intellectual Property: An Economic Perspective, Economic Research Working Paper, No.77, WIPO, 2024. <https://www.wipo.int/publications/en/details.jsp?id=4715> [24.07.2025].
Custers B., Law and Artificial Intelligence: Regulating AI and Applying AI in Legal Practice, Berlin, 2023. DOI: https://doi.org/10.1007/978-94-6265-523-2Dastin J.,
Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women, Reuters,
, <https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazonscraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G/> [24.07.2025].
Díaz-Rodríguez N., Del Ser J., Coeckelbergh M., Lopez de Prado M.L., Herrera-Viedma E., Herrera F., Connecting the Dots in Trustworthy Artificial Intelligence, journal “Information Fusion”, Vol. 99, 2023. DOI: https://doi.org/10.1016/j.inffus.2023.101896
Elgammal A., Liu B., Elhoseiny M., Mazzone M., CAN: Creative Adversarial Networks, Generating “Art” by Learning About Styles and Deviating from Style Norms, Conference Paper, arXiv, 2017. DOI: https://doi.org/10.48550/arXiv.1706.07068
European Commission, Ethics Guidelines for Trustworthy AI, 2019.
European Patent Office, Decision on DABUS Patent Applications, Brussels, 2022.
European Union, Liability for Artificial Intelligence and Other Emerging Digital Technologies, 2019. DOI: https://doi.org/10.2838/573689
Gasser U., Almeida V.A.F., A Layered Model for AI Governance, journal“IEEE Internet Computing”, Vol. 21, No. 6, 2017. DOI: https://doi.org/10.1109/MIC.2017.4180835
Ginsburg J.C., The Role of the Author in Copyright, in: Copyright Law in an Age of Limitations and Exceptions, edited by R.L. Okediji, Cambridge University Press, 2017. DOI: https://doi.org/10.1017/9781316450901.004
Goodfellow I., Bengio Y., Courville A., Deep Learning, MIT Press, 2016
ჩამოტვირთვები
გამოქვეყნებული
როგორ უნდა ციტირება
გამოცემა
სექცია
ლიცენზია
საავტორო უფლებები (c) 2026 Peilin Li

ეს ნამუშევარი ლიცენზირებულია Creative Commons Attribution-ShareAlike 4.0 საერთაშორისო ლიცენზიით .

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.







