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I chose the entertainment industry as my focus after developing an interest in the topic during the actor’s strike amid COVID-19 pandemic. I became particularly curious about how the industry would use deepfake technology to replace actors in films. This has sparked concerns regarding consent and authenticity, as well as the alarming idea that society is is increasingly making humans seem replaceable. The idea that artificial intelligence could mimic scenes from actors who are no longer alive or even from those who refused; raised serious ethical concerns that I wanted to explore further.

In my Padlet wall, I will cover specific AI applications in entertainment, including deepfake technology to create digital versions/replicas of actors and AI-generated music that mimics famous artists' voices. I will also discuss AI’s impact on film production as well as the future expectations and societal impact of AI in the industry.

What excites me most about AI in entertainment is its potential to push creative norms. For instance, AI could recreate scenes with an actor’s face after they’ve passed away or generate songs in an artist’s voice without their content. However, there are ethical concerns. How do we protect actors' rights? What happens to the authenticity of an actor’s or artist's work if their face or voice is used without consent? These questions made AI’s role in entertainment a subject I wanted to explore further. Additionally, I believe AI can only be pushed as far as humans allow.

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AI is quickly changing the entertainment industry, and future trends seems to have advanced developments. Despite the uproar, we may expect to see further usage of AI-generated content, such as virtual actors and deepfake technologies, as well as AI-written screenplays. The reason for such includes the speed of production, save costs, and open up new creative possibilities, such as individualized content based on individual preferences. AI's use in special effects, animation, and even virtual concerts is expanding.

However, these improvements raise substantial ethical concerns. The development of deepfakes, for example, might confuse the distinction between truth and fiction, allowing for manipulation and disinformation which can ruin's someone reputation. For instance, a deepfake can completely change the words of what someone said in a video. Furthermore, copyright infringement are expected to occur when AI replicates an artist's work without consent, possibly jeopardizing creators' rights.

AI has the ability to change entertainment, but it must be utilized correctly. Clear restrictions are required to protect human artists, ensure data privacy, and avoid the exploitation of AI technology. In my opinion, AI should supplement and improve human creativity rather than replace it, and ethical norms must be established to assure justice and respect for the the artists.

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Description: AI is impacting the music industry by allowing individuals to produce AI-generated songs that mimic the style of famous artists, such as Celine Dion, singing tracks produced by someone else. These AI-generated tracks replicate the voice and style of an artist, even if they never performed the song themselves.

Technology: Generative adversarial networks (GANs) and deep neural networks are used to emulate an artist’s voice and musical style.

Benefits: AI produces fast music production and gives fans the opportunity to experience their favorite artists performing new, old, or AI generated custom songs.

Challenges : Include concerns regarding copyright, authenticity, and the potential depreciation of human artistry due to AI-generated songs.

Personal Insight: Although artificial intelligence can enhance music creation, it could also transform music into something robotic which lacks emotional depth that comes from human creativity, which wouldn't be positive since many people use music to express themselves. It also raises concerns about copyright and the possibility that artificial intelligence would eventually replace real artists.

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Using generative adversarial networks (GANs) and deep neural networks, AI can make music that is similar to the styles of famous music artists. 

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Céline Dion - Hearts Don’t Lie (Unofficial Video) (AI Cover) by armin ai

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Description: AI-generated deepfakes are utilized in films to produce digital portrayals of actors and celebrities.

Technology: Encompasses deep learning, generative adversarial networks (GANs), and facial recognition.

Benefits: Improves special effects and can be utilized to replicate deceased actors or generate lifelike digital doubles.

Challenges: Presents risks of misinformation, privacy breaches, and potential misuse for harmful intentions.

Personal Insight: The use of deepfake technology in AI creates serious ethical concerns. Although it serves creative purposes, it frequently confuses the line between truth and fictions. The ability to replicate an person without their permission raises important concerns about privacy, consent, and the risk of harm. Also, many will lose their job and income which will eventually affect the economy.

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Deepfake example. Original/Deepfake close shot Bill Gates.

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Description: AI is being used to help write scripts for movies, television programs, and other forms of entertainment.

Technology: Consists of natural language processing (NLP) and machine learning.

Benefits: Increases content production, generates ideas, and enhances the author's creativity by suggesting storylines and character development.

Challenges: AI-generated scripts may lack the depth and emotional vibe that human authors provide, raising concerns regarding the originality of AI-generated content.

Personal Insight: Personally, I would prefer not to see artificial intelligence being used in films. I believe we should rely on our own creativity since that is what makes storytelling and cinema unique. AI may make things easier but it takes away from the passion and creativity of producing movies and telling that story. Filmmaking is about human expression, and implementing AI appears to have the potential to change this.

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 Consists of Machine Learning and Natural Language Processing (NLP)

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Through my research, I learned more about AI’s role in the entertainment industry. One challenge I faced was understanding the balance between creativity and ethical concerns surrounding AI. I overcame this by researching various case studies, such as Celine Dion's AI-generated songs. A personal experience that shaped my perspective was watching a show call "The Cleaning Lady," where one of the characters passed away, and they used deepfake technology for his final scene. It was disappointing, as the deepfake was poorly executed, taking away from the emotional feel.

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Arman Saves Thony One Last Time | The Cleaning Lady

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I Challenged My AI Clone to Replace Me for 24 Hours | WSJ

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Los Angeles Times. (2025, March 10). Celine Dion warns against AI-generated fake songs in her voice. Los Angeles Times.                                                                               This article explores the ethical problems around AI-generated music, specifically with Celine Dion, and provides insight into the influence of AI on the music industry.

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Backstage. (2023, July 13). AI actors explained: What you need to know about artificial intelligence in entertainment. Backstage.                                                    This article provides an in-depth analysis of how AI is changing in acting and entertainment, which is critical for understanding AI's role in film.

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Sloan Management Review. (2023, September 18). The impact of generative AI on Hollywood and entertainment. MIT Sloan Management Review.                                                                                                         This source investigates how generative AI is transforming content production in Hollywood, which is crucial for understanding AI's disruptive implications on the entertainment business.

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CNN. (2025, March 8). Deepfake technology in Hollywood: A new challenge for actors and filmmakers. CNN.                                                       This article examines the risks and problems of employing deepfakes in Hollywood, emphasizing ethical issues concerning the use of AI to build digital duplicates of celebrities.                             

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Forbes. (2023, August 17). Generative AI for content creation: How marketers can use it. Forbes.                                                                    This article gives insights into how AI is used for content development, which helps understand its larger applications in the entertainment industry.     

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I Challenged My AI Clone to Replace Me for 24 Hours | WSJ

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The influence of AI on the entertainment industry goes further than just content creation; it brings to light important societal concerns, especially regarding employment, privacy, and equity. As AI advances, roles typically held by human actors, writers, and musicians could be replaced by AI.

Moreover, deepfake technology raises privacy issues, as it allows for the replication of an individual's face or voice without their consent. This may result in the exploitation or manipulation of one's face, body, or voice. Additionally, content generated by AI has the potential to perpetuate existing biases, therefore limiting diverse representation in media. There will also be no connection to the viewer because AI does not know how to development emotions nor can it relate to humans. Therefore there will also be a gap or since of displacement.

The societal impacts lead me to be concerned of AI's involvement in entertainment. Although AI presents exciting opportunities, such as fast production and cutting on cost, it is important to address these concerns to ensure that its application does not infringe on individuals' rights. AI should enhance, rather than replace human creativity, and it is essential to establish ethical guidelines that promote fairness, safeguard privacy, and preserve job opportunities within the entertainment industry.

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Will AI Make Us the Last Generation to Read and Write? | Victor Riparbelli | TED

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Laurel Lee Responds To Fears About AI Taking Jobs: ‘We Need To Look At AI As An Assistant’