Session 6/7 Assignment: AI in Industry and Society by Arlene Ramirez-Mejia

Personalized Overview

arleneramirezmejia — 2025-10-10 22:32:23 UTC

The entertainment industry has always been driven by creativity, but now artificial intelligence is taking it to a whole new level. I chose this industry because movies, music, and games have always been a big part of my life and honestly its also a part of everyones life. I’ve also noticed how technology constantly changes the way we experience them. Whether it’s Netflix recommending the perfect show, a video game that reacts to your every move, or AI-generated music that sounds shockingly real, entertainment has become one of the clearest examples of how AI is shaping our daily lives. In this Padlet, I’ll be exploring three major AI applications in entertainment: content recommendation, game development, and music creation. Each one shows how AI is being used in creative and technical ways from analyzing viewer habits, to simulating realistic gaming environments, to composing music using generative algorithms. What interests me most about AI in this field is how it blends creativity and logic. It’s amazing that something built on code can help artists, designers, and producers make art in new ways. But it also makes me think about what creativity really means and whether machines can ever truly replace human imagination, personally I think AI should never replace human imagination and creativity because that is what makes us humans well humans. Overall, I think AI in entertainment is exciting because it’s both innovative and controversial. It’s changing how stories are told, how art is made, and how we connect with what we watch and listen to.

Netflix – AI in Content Recommendation

arleneramirezmejia — 2025-10-10 22:53:00 UTC

Netflix uses artificial intelligence to analyze what users watch, skip, and rate to personalize their viewing experience. The technology behind this includes machine learning and neural networks, which study massive amounts of viewing data to predict what people will want to watch next, which honestly is quite cool. This system helps Netflix keep audiences engaged and improves satisfaction by making recommendations feel personal. The main challenge is data privacy and the risk of limiting diversity in content since AI tends to show similar genres. I find it interesting because it shows how AI can almost “learn” our tastes better than we can.

Netflix – AI in Content Recommendation

arleneramirezmejia — 2025-10-10 22:59:35 UTC

Electronic Arts (EA) – AI in Game Development

arleneramirezmejia — 2025-10-11 00:57:41 UTC

Electronic Arts uses artificial intelligence to make games more realistic and interactive. Their development teams apply deep learning and reinforcement learning to teach non-player characters (NPCs) how to react and adapt to players’ actions. This helps create smarter opponents and lifelike movement in games like FIFA and Battlefield. The benefit is that we get a more immersive experience that feels unpredictable and quite human-like. However, the challenge is how much data and computing power this tends to require, as well as keeping the gameplay fair. I find this fascinating because AI makes games feel quite alive, almost like the characters are actually learning from you.

Electronic Arts (EA) - AI in Game Development

arleneramirezmejia — 2025-10-11 01:01:27 UTC

Amper Music – AI in Music Creation

arleneramirezmejia — 2025-10-11 01:11:19 UTC

Amper Music is an AI program that can actually make full songs on its own. All the user has to do is just pick the mood, genre, and how long you want it to be, and it creates a track in seconds. It uses generative AI that is trained on tons of music patterns so it can build melodies and beats that sound real. The cool thing is that people who don’t know how to make music can still create something original for their videos or projects. One big problem would be that sometimes the songs can sound a little robotic or too perfect, I mean music is meant to come from the soul, its supposed to be human, but I guess I do like how it makes music creation more open to everyone, not just professionals.

Amper Music – AI in Music Creation

arleneramirezmejia — 2025-10-11 01:20:56 UTC

Future Trends and Ethical Considerations

arleneramirezmejia — 2025-10-11 01:41:27 UTC

I think the future of AI in entertainment is both exciting yet more scary than anything. It’s already changing how movies, games, and music are made, and it’s only going to continue to grow and if not get even more difficult to figure out if something is human made. Some studios are starting to use AI to create backgrounds or even bring younger versions of actors to life. In music, tools like generative AI can make songs from just a few words, and games are becoming more realistic with smarter characters that are able to learn how you play. It’s cool to imagine how far that can go, but it also makes me wonder what it means for the real artists, aka us humans. There are some serious ethical problems too. Deepfakes can make fake videos of people who never agreed to be in them, and AI can copy someone’s voice or art style without permission. Privacy is another big issue because companies are able to collect a lot of data about what we watch and listen to without us really knowing or paying attention. In my opinion, AI should be something that helps creators, not replaces them. It can make things faster and more creative, but real emotion and ideas still have to come from people. I also think there should be rules about how AI-made content is used so audiences know what’s real and what’s not. If people stay involved, AI can make entertainment even better, not take it away from us.

Societal Impact

arleneramirezmejia — 2025-10-11 01:47:50 UTC

AI has completely changed how people experience entertainment. We use it every day without even thinking about it, whether it’s Netflix recommending a new show, Spotify suggesting a song, or TikTok pushing certain videos on our For You page based on what youve previously liked. AI makes entertainment more personal and convenient, but it also shapes what we see and how we think. It has created a world where our choices are guided by algorithms instead of pure curiosity because we are only seeing things that are in our interest. While AI helps companies understand audiences better, it also affects jobs and creativity. Some editors, musicians, and designers have already lost work because AI tools can create or edit content way faster, I mean we are humans we have limits. This can make the industry more efficient, but it can also limit opportunities for real people who depend on those roles. Privacy is another major concern since AI systems are able to collect massive amounts of user data to make recommendations or target ads. There’s also the issue of diversity. If the data used to train AI comes mostly from one type of culture, it can leave out voices and stories from others. That means the same kinds of ideas and people keep getting promoted while others are ignored. Personally, I think AI can be amazing for entertainment if it is being used very carefully, and I mean lots of laws and rules. It should help artists share their work and connect with audiences, not replace them. As long as humans stay creative and keep control of the storytelling, AI can make the entertainment world more open and inspiring instead of less human.

Reflection

arleneramirezmejia — 2025-10-11 01:57:23 UTC

Doing this project has helped me see how powerful AI really is in shaping a very popular industry known as entertainment. I learned how companies like Netflix, EA, and Amper Music use technology in different ways to understand people, create content, and make experiences feel pretty personal. At first, it was hard finding good sources that explained the tech side clearly without glorifying it without mentioning the consequences, but once I did, everything made a lot more sense. I also realized that AI isn’t just about coding, it’s about creativity, ethics, and the people behind it, the things that make us well human. This project has made me think differently about how much technology influences what we watch, play, and even what we listen to.

References

arleneramirezmejia — 2025-10-11 02:09:29 UTC

Arts, E. (2022, January 10). AI in Game Industry: Building New Worlds and New Mindsets. Electronic Arts Inc.; Electronic Arts. https://www.ea.com/seed/news/ai-in-game-industry?

[Rationale: I chose this source because it comes directly from EA and explains how the company uses AI to make games more realistic and interactive.]

Gad, H. A. (2023, February 20). The Role of Artificial Intelligence in Music Production: A Look at Amper Music’s Innovative Approach. Medium; Medium. https://medium.com/@gadallah.hatem/the-role-of-artificial-intelligence-in-music-production-a-look-at-amper-musics-innovative-6cbc199c6f1e

[Rationale: I chose this article because it clearly explains how Amper Music uses generative AI to create original songs and help people without music training make music.]

Gera, S. (2025, March 20). The Impact of Artificial Intelligence on Music Production: Creative Potential, Ethical Dilemmas, and the Future of the Industry - NHSJS. NHSJS. https://nhsjs.com/2025/the-impact-of-artificial-intelligence-on-music-production-creative-potential-ethical-dilemmas-and-the-future-of-the-industry/

[Rationale: I chose this source because it discusses both the creative benefits and ethical issues of using AI in music, which connects to my project’s theme.]

Gokul. (2024, November 29). How Netflix Uses Artificial Intelligence. Argoid.ai; Argoid. https://www.argoid.ai/blog/netflix-ai?

[Rationale: I chose this source because it breaks down how Netflix uses AI and machine learning to personalize recommendations for users.]

Netflix Technology. (2025, March 21). Foundation Model for Personalized Recommendation - Netflix TechBlog. Medium; Netflix TechBlog. https://netflixtechblog.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39

[Rationale: I chose this article because it provides an inside look at how Netflix engineers design their AI systems to predict what viewers want to watch.]

Wallace, D. (2024, September 26). EA’s A.I.-Powered Game Creation: Democratizing Digital Worlds - Creativity Squared. Creativity Squared. https://creativitysquared.com/eas-a-i-powered-game-creation-democratizing-digital-worlds/

[Rationale: I chose this article because it shows how EA is using AI to make the game design process more creative and accessible for developers.]

Overview Video

arleneramirezmejia — 2025-10-11 21:29:14 UTC

Padlet only allows you to have two minute long videos so any longer requires the premium plan so ill upload it directly to brightspace alongside the link

Overview Video

arleneramirezmejia — 2025-10-11 21:30:17 UTC