Artificial intelligence technologies in media and culture: Legal regulation

Authors

  • Victoria Ivashchenko Doctor of Philology, Professor of the Department of Media Production and Publishing, Borys Grinchenko Kyiv Metropolitan University https://orcid.org/0000-0002-8044-4116
  • Daria Ivashchenko Ph.D. in International Law, Associate Professor, Head of International Relations Office, Department of International, Civil and Commercial Law, State University of Trade and Economics https://orcid.org/0000-0003-4123-6821
  • Yuliia Honcharova Ph.D. in Law, Associate Professor of the Department of International, Civil and Commercial Law, at State University of Trade and Economics https://orcid.org/0000-0003-4679-3715
  • Roksolana Dyachenko Ph.D. in Study of Art, Associate Professor of the Departments of Advertising and Public Relations of Borys Grinchenko Kyiv Metropolitan University https://orcid.org/0000-0002-8177-2357
  • Olha Koreniuk Ph.D. in Law, Associate Professor of the Department of International, Civil and Commercial Law of State University of Trade and Economics https://orcid.org/0000-0001-5272-8990

DOI:

https://doi.org/10.15408/jch.v12i3.42270

Keywords:

Artificial Intelligence, Cultural Technologies, Legal Regulation, Media Content, Media Technologies

Abstract

The study aims to fill the literature's gaps concerning the legal consequences of artificial intelligence use. The study combines experimental modelling of the interaction of artificial intelligence with media content and cultural artefacts. Machine learning methods were used, particularly natural language processing and deep learning. A comparative-legal analysis of the regulatory framework with LexisNexis and Westlaw resources was conducted. Qualitative methods, such as regression and analysis of variance, evaluated correlations between the influence of artificial intelligence and content changes. The findings showed significant differences in the effect of artificial intelligence on media platforms and cultural institutions. Artificial intelligence has a larger influence on content recommendations and user engagement in media rather than in culture. Tukey's Honestly Significant Difference test confirmed the statistical significance of these results, indicating the need for adapted regulatory approaches. Artificial intelligence technologies can improve media content and cultural participation, but current regulations do not address new challenges. The findings underline the necessity of developing special regulatory norms for ethical artificial intelligence use, particularly within aspects of intellectual property and digital rights management. 

References

AIContentfy team. (2023). The role of AI in content engagement and interaction. https://aicontentfy.com/en/blog/role-of-ai-in-content-engagement-and-interaction

Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023). AI governance: Themes, knowledge gaps, and future agendas. Internet Research, 33(7), 133–167. https://doi.org/10.1108/intr-01-2022-0042

Braze. (2024). 2024’s Breakthrough Trends for Customer Engagement. https://www.braze.com/resources/articles/2024s-breakthrough-trends-for-customer-engagement

Buffer. (2024). 14 must-try AI social media content creation tools in 2024. https://buffer.com/resources/ai-social-media-content-creation/

Comply. (2024). How to perform a regulatory compliance gap analysis for your firm’s program. https://www.comply.com/resources/blog/how-to-perform-a-regulatory-compliance-gap-analysis-for-your-firm-s-program

Datatab. (2024). Analysis of variance (ANOVA). https://datatab.net/tutorial/anova

DeChant, E. (2024). Regulations and culture of the US legal ecosystem as obstacles to AI implementation. Deleted Journal, 1(1), 118–125. https://doi.org/10.21552/aire/2024/1/15

Gillis, A. S. (2023, June 8). The impact of AI on social media. Tech Target Network. https://www.techtarget.com/whatis/feature/The-impact-of-AI-on-social-media

Goossens, S., Love, J., & Bouhanna, L. (2024, February 5). Entertainment and Media Guide to AI: Legal issues of AI in the entertainment and media sector part 1- IP. Lexology. https://www.lexology.com/library/detail.aspx?g=c8865103-15ea-46d1-aeeb-1777f092f87c

Helberger, N. (2024). FutureNewsCorp, or how the AI Act changed the future of news. Computer Law & Security Review, 52, 105915. https://doi.org/10.1016/j.clsr.2023.105915

IBM. (2024). Unlock advanced data insights with SPSS Regression. https://www.ibm.com/products/spss-statistics/regression

Lebedeva, S. E., Vakku, G. V., Solovey, L. B., & Goncharov, D. K. (2023). Historical evolution of legislative regulation of the media in the West. Revista Amazonia Investiga, 12(71), 77–82. https://doi.org/10.34069/ai/2023.71.11.6

Lewis, D., & Moorkens, J. (2020). A rights-based approach to trustworthy AI in social media. Social Media + Society, 6(3), 205630512095467. https://doi.org/10.1177/2056305120954672

Mantello, P., Ho, M., Nguyen, M., & Vuong, Q. (2023). Machines that feel: Behavioral determinants of attitude towards affect recognition technology – upgrading technology acceptance theory with the mind sponge model. Humanities and Social Sciences Communications, 10(1), 430. https://doi.org/10.1057/s41599-023-01837-1

Michalsons. (2023). Regulatory compliance gap analysis. https://www.michalsons.com/legal-services/legal-compliance/regulatory-compliance-gap-analysis

Minitab. (2024). Data analysis, statistical & process improvement tools. https://www.minitab.com/en-us/

Myscale. (2024, April 11). What is AI recommendation systems. https://myscale.com/blog/ai-recommendation-system-explained/

Pierson, J., Kerr, A., Robinson, S. C., Fanni, R., Steinkogler, V. E., Milan, S., & Zampedri, G. (2023). Governing artificial intelligence in the media and communications sector. Internet Policy Review, 12(1). https://doi.org/10.14763/2023.1.1683

Rangel, C. (2022). Artificial intelligence as a partner in the supervision of harmful commercial content for minors on the Internet. Revista Mediterránea De Comunicación, 13(1), 17. https://doi.org/10.14198/medcom.20749

Ruschemeier, H. (2023). AI as a challenge for legal regulation – the scope of application of the Artificial Intelligence Act proposal. ERA Forum, 23(3), 361–376. https://doi.org/10.1007/s12027-022-00725-6

So, B. (2023). The problems of Artificial intelligence technology in the media: Discussions on watermarks and identification measures to prevent copyright infringement and disinformation by AI-generated contents. Wonkwang University Legal Research Institute, 39(3), 27–47. https://doi.org/10.22397/wlri.2023.39.3.27

Springs. (2024, April 17). Conversational AI trends in 2024 and beyond. https://cases.media/article/conversational-ai-trends-in-2024-and-beyond

Tukey_hsd. (2024). SciPy. https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.tukey_hsd.html

Tuner, S. (2024, March 25). Improving user experience with AI-based content recommendations. Medium. https://medium.com

Vilá, C. S. Q. (2023). A brave new world: Maneuvering the Post-Digital Art market. Arts, 12(6), 240. https://doi.org/10.3390/arts12060240

Downloads

Published

2024-12-29

Issue

Section

Articles

How to Cite

Artificial intelligence technologies in media and culture: Legal regulation. (2024). Jurnal Cita Hukum, 12(3), 701-716. https://doi.org/10.15408/jch.v12i3.42270