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Journal of Arts, Society, and Education Studies

Volume 4, 2022 - Issue 3

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AI in Entertainment: Revolutionizing Content Creation and Personalized Experiences

by David Martin 1,*
1
University of Rijeka
*
Author to whom correspondence should be addressed.
JASES  2022 4(3):110; https://doi.org/10.xxxx/xxxxxx
Received: 14 July 2022 / Accepted: 20 August 2022 / Published Online: 19 September 2022
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Abstract

This paper explores the transformative role of artificial intelligence (AI) in the entertainment industry, focusing on how AI technologies are revolutionizing content creation and personalized experiences. Through an analysis of case studies and industry insights, the study investigates how AI-driven solutions such as content recommendation systems, deep learning algorithms, and virtual reality experiences are reshaping various aspects of entertainment, including film, music, gaming, and streaming platforms. It discusses the potential benefits of AI in enhancing creativity, increasing audience engagement, and improving content discovery, while also addressing challenges related to privacy, copyright, and algorithmic bias. Additionally, the paper examines the role of AI in enabling more immersive and interactive entertainment experiences, by analyzing user preferences and behavior data to deliver tailored content and experiences. Furthermore, it discusses the importance of collaboration between content creators, technology developers, and regulatory bodies, investment in AI research and development, and ethical considerations in harnessing the full potential of AI in entertainment. The findings underscore the transformative power of AI in creating more diverse, engaging, and accessible entertainment experiences for audiences worldwide.

Keywords: Artificial Intelligence; Entertainment; Content Creation; Personalized Experiences; Recommendation Systems; Deep Learning; Virtual Reality;
Copyright: © 2022 by Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Martin, D. AI in Entertainment: Revolutionizing Content Creation and Personalized Experiences. Journal of Arts, Society, and Education Studies, 2022, 4, 110. doi:10.xxxx/xxxxxx
AMA Style
Martin D. AI in Entertainment: Revolutionizing Content Creation and Personalized Experiences. Journal of Arts, Society, and Education Studies; 2022, 4(3):110. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Martin, David 2022. "AI in Entertainment: Revolutionizing Content Creation and Personalized Experiences" Journal of Arts, Society, and Education Studies 4, no.3:110. doi:10.xxxx/xxxxxx

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References

  1. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
  2. Dignum, V., & Dignum, F. (2018). Artificial intelligence for social media. IEEE Intelligent Systems, 33(3), 4-6.
  3. Jiang, L., & Wang, J. (2019). Deep learning for multimedia recommendation: A survey and future challenges. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15(4), 1-28.
  4. Kim, H. (2020). AI and music: From composition to consumption. Frontiers in Digital Humanities, 7, 6.
  5. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
  6. Schedl, M., & Ferwerda, B. (2019). The past, present, and future of music recommendation research. Frontiers in Artificial Intelligence, 2, 23.
  7. Stork, D. G. (2017). Hal’s legacy: 2001’s computer as dream and reality. MIT Press.
  8. World Economic Forum. (2018). The Future of Media, Entertainment and Culture: Strategies for the Digital Age.