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Examples of AI Usage #1- AI in Music Composition

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Examples of AI Usage #1- AI in Music Composition

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AI is revolutionizing music creation by generating original compositions and assisting musicians in the creative process. AI-powered tools like OpenAI’s Jukebox and Google’s Magenta use machine learning to analyze a large amount of music data and generate new pieces in various styles. As for benefits, AI helps artists create music faster, explore new sounds, and even generate background scores for movies and video games. It allows independent artists to access high-quality composition tools. Some challenges include AI-generated music which raises concerns about originality, copyright ownership, and whether AI can truly replicate human creativity and emotion.

Technology Used: Machine learning, deep learning, neural networks.

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The AI Effect: A New Era in Music and Its Unintended Consequences

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Examples of AI Usage #2- Deepfake Actors

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Examples of AI Usage #2- Deepfake Actors

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AI-driven deepfake technology is being used to create digital doubles of actors, de-age performers, and even bring deceased actors back to the screen. Movies like The Irishman and Rogue One used AI-powered visual effects to alter actors’ appearances. Some benefits are where AI enhances realism in films, reduces the need for expensive reshoots, and allows filmmakers to preserve historical figures on screen. It also enables real-time motion capture for video games and animation. Challenges include ethical concerns that arise regarding consent, deepfake misuse, and the potential loss of acting jobs. There is also debate over whether AI-generated performances can replace genuine human expressions.

Technology Used: Deep learning, computer vision, generative adversarial networks (GANs)

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The Incredible Creativity of Deepfakes — and the Worrying Future of AI | Tom Graham | TED

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Davenport , T. H. (2023, June 19). The impact of Generative AI on Hollywood and entertainment: Thomas H. Davenport and Randy Bean. MIT Sloan Management Review. https://sloanreview.mit.edu/article/the-impact-of-generative-ai-on-hollywood-and-entertainment/

(I chose this article because it mentions a large variety of what I have covered and has good explanations for the terms I use).

Allison, A. (2024, October 1). Part I: A new era of AI in the entertainment industry. Art’s Management and Technology Laboratory. https://amt-lab.org/blog/2024/9/a-new-era-of-ai-in-the-entertainment-industry

(This website brought up a lot of challenges humans were faced with when it came to AI).

Pazzanese, C. (2020, October 26). Ethical concerns mount as AI takes bigger decision-making role. Harvard Gazette. https://news.harvard.edu/gazette/story/2020/10/ethical-concerns-mount-as-ai-takes-bigger-decision-making-role/

(It gives a good background on AI while also showing how problematic it can become).

Ogbunu, B. (2024, December 21). Music can thrive in the AI era. Wired. https://www.wired.com/story/artificial-intelligence-music-human-creativity/

(This article talked in depth about AI music and some popular songs that were made with AI).

Nader, K., Toprac, P., Scott, S. et al. Public understanding of artificial intelligence through entertainment media. AI & Soc 39, 713–726 (2024). https://doi.org/10.1007/s00146-022-01427-w

(A very interesting article on AI in entertainment and how its reshaping creativity, jobs, and ethics, blending digital and real-world experiences).

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Examples of AI Usage #3- AI Powered Streaming Recommendations

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Examples of AI Usage #3- AI Powered Streaming Recommendations

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Streaming platforms like Netflix, Spotify, and YouTube use AI to recommend movies or songs, etc... based on what the user previously watched and listened to. These platforms analyze viewing habits, listening history, and engagement metrics to provide personalized suggestions. The benefits mainly include having AI improve user experience by helping audiences discover new content they might enjoy and increasing engagement and retention. It also helps streaming services optimize their content libraries. Some challenges could include concerns about filter bubbles, where users get stuck in a loop of similar content, and privacy issues related to data collection and algorithmic bias.

Technology Used: Machine learning, natural language processing, collaborative filtering

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How Spotify’s AI-Driven Recommendations Work | WSJ Tech Behind

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AI is transforming the entertainment industry in ways we never imagined. It helps create music, improve movie effects, and even suggest what we should watch next. Streaming platforms like Netflix and Spotify use AI to recommend content based on our preferences, while AI-generated scripts and virtual influencers are becoming more common. AI can enhance visual effects, create lifelike digital characters, and even restore old films. It’s making entertainment more interactive, efficient, and immersive. But while AI brings many benefits, it also raises important questions about originality, ethics, and job security. I chose this topic because entertainment is a huge part of our lives—it connects people, tells powerful stories, and shapes culture. AI is making content creation faster and more accessible, but it also challenges traditional roles in the industry. Can an AI-generated song truly capture human emotion? Should AI be used to digitally recreate actors? I’m really interested in the balance between human creativity and AI assistance. While AI can generate impressive content, true artistry comes from human emotions, experiences, and storytelling. I’ll be covering AI in action like AI-made music, deepfake actors, and personalized recommendations, future and ethics and how AI is changing entertainment and concerns about fairness, copyright, and fake content and impact on society like how AI affects jobs and the way we enjoy entertainment. AI in entertainment is exciting but also brings challenges. It can make content better and more accessible, but we need to make sure it’s used responsibly. I believe AI should be a tool that helps people create, not something that replaces them.

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AI is reshaping entertainment in ways that go beyond content creation, influencing culture, creativity, and how people consume media. One major impact is the democratization of content production—AI-powered tools allow independent artists, filmmakers, and musicians to create high-quality content without massive budgets. This makes entertainment more accessible and diverse. Streaming platforms like Netflix and YouTube use AI to recommend content, shaping what people watch and listen to. While this personalization enhances user experience, it also raises concerns about filter bubbles, where people are only exposed to content that aligns with their preferences, limiting discovery and diversity.

AI also affects employment in the entertainment industry. While AI can enhance creativity, it also automates tasks traditionally done by humans, such as video editing, animation, and scriptwriting. This could lead to job displacement for certain roles, forcing professionals to adapt and develop new skills. At the same time, AI is creating new career opportunities in fields like AI-driven content creation and digital effects. Another critical impact is the spread of misinformation. AI-generated deepfakes can manipulate reality, creating fake news, altering historical events, or even misrepresenting public figures. This challenges trust in media and requires strict ethical guidelines. Not to sound redundant but, I believe AI’s role in entertainment should aid in enhancing human creativity, not replacing it. It has the power to make entertainment more inclusive and innovative, but we must be mindful of its risks. Ethical AI use, transparency, and regulation will be essential to ensuring AI benefits society as a whole.

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Future Trends and Ethical Considerations

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Future Trends and Ethical Considerations

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AI is set to play an even bigger role in entertainment, shaping how content is created, personalized, and consumed. One major trend is the rise of AI-generated content, where AI can produce scripts, music, and even entire films with minimal human input. Virtual influencers and digital humans are also becoming more realistic, potentially replacing traditional actors. Another key development is AI-powered interactive entertainment, such as personalized storylines in gaming and virtual reality experiences that adapt based on user behavior. AI will also continue improving content recommendations, making streaming services even more tailored to individual preferences.

However, these advancements raise ethical concerns. One major issue is authenticity—if AI can generate content that mimics human creativity, where do we draw the line between original and synthetic art? Another concern is job displacement, as AI could reduce the need for human writers, musicians, and actors. Additionally, the rise of deepfake technology creates risks, from misinformation to unauthorized use of a person’s likeness. Copyright and intellectual property laws will need to evolve to address AI-generated works. I believe AI should enhance creativity rather than replace it. While AI can speed up production and create new possibilities, the heart of entertainment lies in human emotion and storytelling. The industry must find a balance—leveraging AI for innovation while ensuring ethical guidelines protect artists, audiences, and the integrity of entertainment. As AI continues to evolve, responsible use and transparency will be key to shaping its future in entertainment.

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While researching all these different things about entertainment and AI, I have learned that it's obviously a pretty scary thing. Reading in depth about how it affects the entertainment industry made me wonder how bad it will get a few years down the line. Will all of the entertainment be artificially produced? Will it have any emotion in it? How long will it take for me to realize that something was artificially made? It doesn't seem as scary now because the future feels like it's far away, but there are so many experiments going on right now that will be the cause of AI taking over the entertainment industry.