Artificial intelligence technologies in media and culture: Legal regulation
Abstract
The purpose of the study is to fill the gaps in the literature 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. Methods of machine learning, in particular natural language processing and deep learning, were used. 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 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 correspond to new challenges. The findings underline the necessity of the development of special regulatory norms for ethical artificial intelligence use, in particular within aspects of intellectual property and digital rights management.
References
AIContentfy team. (2023). The role of AI in content engagement and interaction. Retrieved from 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. DOI: 10.1108/intr-01-2022-0042.
Braze. (2024). 2024’s Breakthrough Trends for Customer Engagement. Retrieved from 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. Retrieved from https://buffer.com/resources/ai-social-media-content-creation/.
Comply. (2024). How to perform a regulatory compliance gap analysis for your firm’s program. Retrieved from 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). Retrieved from 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. DOI: 10.21552/aire/2024/1/15.
Gillis, A. S. (2023, June 8). The impact of AI on social media. Tech Target Network. Retrieved from 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. Retrieved from 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. DOI: 10.1016/j.clsr.2023.105915.
IBM. (2024). Unlock advanced data insights with SPSS Regression. Retrieved from 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. DOI: 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. DOI: 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. DOI: 10.1057/s41599-023-01837-1.
Michalsons. (2023). Regulatory compliance gap analysis. Retrieved from https://www.michalsons.com/legal-services/legal-compliance/regulatory-compliance-gap-analysis.
Minitab. (2024). Data analysis, statistical & process improvement tools. Retrieved from https://www.minitab.com/en-us/.
Myscale. (2024, April 11). What is AI recommendation systems. Retrieved from 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). DOI: 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. DOI: 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. DOI: 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. DOI: 10.22397/wlri.2023.39.3.27.
Springs. (2024, April 17). Conversational AI trends in 2024 and beyond. Retrieved from https://cases.media/article/conversational-ai-trends-in-2024-and-beyond.
Tukey_hsd. (2024). SciPy. Retrieved from https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.tukey_hsd.html.
Tuner, S. (2024). Improving user experience with AI-based content recommendations. Medium. Retrieved from https://medium.com.
Vilá, C. S. Q. (2023). A brave new world: Maneuvering the Post-Digital Art market. Arts. 12(6), 240. DOI: 10.3390/arts12060240.
DOI: https://doi.org/10.15408/jch.v12i3.42270 Abstract - 0
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
