A Study of the Impact of Artificial Intelligence Technologies on Content Creation in the Media and Entertainment Industry
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study comprehensively analyzes the impact of Artificial Intelligence (AI) technologies on content creation processes in the media and entertainment industry. The rapid advancement of AI technologies has significantly transformed content production methods, presenting new opportunities and challenges across the industry. This research examines how various AI technologies, including machine learning, natural language processing, and computer vision, are being applied to content creation in major entertainment sectors such as film, broadcasting, music, and gaming. Furthermore, it analyzes the positive effects of AI technology adoption, such as improved production efficiency, enhanced creativity, and personalized content delivery, as well as potential issues including copyright concerns, ethical considerations, and workforce displacement anxieties.
Abstract
This study comprehensively analyzes the impact of Artificial Intelligence (AI) technologies on content creation processes in the media and entertainment industry. The rapid advancement of AI technologies has significantly transformed content production methods, presenting new opportunities and challenges across the industry. This research examines how various AI technologies, including machine learning, natural language processing, and computer vision, are being applied to content creation in major entertainment sectors such as film, broadcasting, music, and gaming. Furthermore, it analyzes the positive effects of AI technology adoption, such as improved production efficiency, enhanced creativity, and personalized content delivery, as well as potential issues including copyright concerns, ethical considerations, and workforce displacement anxieties.
참고문헌 (17)
- Acemoglu, D, "The wrong kind of AI? Artificial intelligence and the future of labor demand", Cambridge Journal of Regions, Economy and Society, 13(1), pp.25~35 (2020)
- Ballardini, R. M., "Online Distribution of Content in the EU" (2019), Edward Elgar Publishing
- Brynjolfsson, E., "What can machine learning do? Workforce implications", Science, 358(6370), pp.1530~1534 (2017)
- Buolamwini, J., "Gender shades: Intersectional accuracy disparities in commercial gender classification", Conference on fairness, accountability and transparency, pp.77~91 (2018), PMLR
- Diakopoulos, N., "Artificial intelligence and journalism", Journalism & Mass Communication Quarterly, 97(3), pp.673~695 (2020)
- Elkin-Koren, N., "Fair use by design", UCLA L. Rev, 68, pp.1082~ (2021)
- Frank, M. R., "Toward understanding the impact of artificial intelligence on labor", Proceedings of the National Academy of Sciences, 116(14), pp.6531~6539 (2019)
- Gervais, D. J., "The machine as author", Iowa L. Rev, 105, pp.2053~ (2019)
- Graves, L., "Understanding the promise and limits of automated fact-checking", Reuters Institute for the Study of Journalism (2018)
- Kim, J. Y., "Current status and prospects of artificial intelligence technology application in the media industry", Journal of Information and Communication Policy Research, 27(2), pp.1~35 (2020)
- Lee, S. W., "Current status and challenges of AI-based content production technology", Journal of the Korea Contents Association, 21(3), pp.31~41 (2021)
- Mehrabi, N., "A survey on bias and fairness in machine learning", ACM Computing Surveys(CSUR), 54(6), pp.1~35 (2021)
- Park, H. W., "A study on the application of artificial intelligence technology in the broadcasting and media industry", Korean Journal of Broadcasting and Telecommunication Studies, 33(4), pp.5~36 (2019)
- Samuelson, P., "AI Authorship?", Communications of the ACM, 63(7), pp.20~22 (2020)
- Shin, D. H., "The impact of AI technology on the entertainment industry: Opportunities and challenges", Journal of the Korea Contents Association, 22(5), pp.11~22 (2022)