Legal aspects of AI generated content
Keywords:
AI-generated content, Legal aspects, Ethical considerations, Intellectual property rights, Liability, Responsibility, Transparency, Fairness, Bias, Manipulation, Cultural and artistic landscape, Labor market disruptions, Information landscape, Economic opportunities, Human-AI collaboration, Ethical and regulatory frameworks, Societal impact, Education, Future prospectsAbstract
Artificial Intelligence (AI) has revolutionized various industries, including content creation. AI-generated content, produced by algorithms and machine learning systems, has become prevalent in areas such as journalism, marketing, and entertainment. However, along with its benefits, AI-generated content raises important legal considerations. This article explores the legal aspects surrounding AI-generated content, focusing on copyright, intellectual property, liability, and ethical implications.
References
Introduction:
Calo, R. (2017). Artificial intelligence policy: A primer and roadmap. Policy & Internet, 9(3), 215-260.
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).
Legal Frameworks:
Burrell, J. (2016). How the machine ?thinks?: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 1-12.
De Filippi, P., & Loveluck, B. (2020). Blockchain and the law: The rule of code. Harvard University Press.
Intellectual Property Rights:
Ansong, D., Aloudat, A., & Sosnowski, M. (2021). Copyright protection of works generated by artificial intelligence: The ambiguous role of human authors. European Intellectual Property Review, 43(6), 373-380.
Gervais, D. J. (2020). Artificial intelligence and copyright's authorship, originality, and fixation requirements. Emory Law Journal, 70(3), 615-674.
Liability and Responsibility:
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Wahidin, A., & Kulesza, J. (2019). AI accidents: Liability and ethics issues. Computer Law & Security Review, 35(6), 743-754.
Ethical Implications:
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.
Soltani, A., Hulkower, T., & Berman, B. (2021). Ethical implications of artificial intelligence for legal services. Journal of Law and the Biosciences, 8(1), lsaa040.
Societal and Economic Impacts:
Autor, D. H. (2019). Work of the past, work of the future. The Journal of Economic Perspectives, 33(2), 3-26.
Floridi, L. (2019). AI in society: Challenges, risks, and opportunities. Philosophy & Technology, 32(4), 581-587.
Future Prospects and Considerations:
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., ... & Zeide, E. (2020). Toward trustworthy AI development: Mechanisms for supporting verifiable claims. arXiv preprint arXiv:2004.07213.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399.
