Streaming’s Next Frontier: Pros and Cons of AI Story Generator & More

Streaming's Next Frontier: Pros and Cons of AI Story Generator & More cover

The technology behind AI story generator tools has advanced rapidly in just a few years, revolutionizing the way content is created, personalized, and delivered to users—and the entire OTT and streaming industry.

But with the boom of generative AI technology, there is also great concern regarding the consequences of its use in media. Copyright infringements, false information, safety risks, and more—generative AI, if not used carefully, can prove just as damaging as helpful for content creators, platforms, and viewers alike.

In this guide, we’ll explore the nature of AI story generator tools, their industry status, and the implications of their use. We’ll also take a look at the future of video content streaming with generative AI.

ai story generrator
Photographer: TSViPhoto | Source: Shutterstock

What Is Generative AI?

Generative AI comprises applications or software that use AI algorithms to generate content including text, images, music, and videos. The content output of an AI story generator is based on input data and patterns; it learns from the existing data and attempts to mimic human creativity to generate unique, realistic content accordingly.

AI tools are popular because of their ability to simulate human intelligence but work at a much faster pace with increased efficiency. In particular, AI story generators and writing tools, chatbots, and art generators have surged in popularity as of late.

AI Story Generator and Writing Tools

AI story generators and writing tools analyze patterns and data to create cohesive narratives. These tools are useful for content creation, creative writing, and even generating ideas and storylines for novels or movies. Not only do they save writers a significant amount of time, but they offer inspiration and assist with creative thinking.

AI Chatbots

AI chatbots such as ChatGPT and Google Bard use AI technology to engage in conversation with users. They can understand and respond to user input, simulating human-like conversations. They employ natural language processing (NLP) algorithms to comprehend the meaning behind user queries and generate appropriate responses.

Through machine learning, these chatbots continuously learn and improve their conversational abilities based on user interactions. The goal of AI chatbots is to provide efficient customer support, answer questions, and assist with research among other tasks.

AI Art Generators

AI art generators such as Midjourney leverage AI algorithms to create artistic images. These generators analyze patterns, styles, and features of existing artwork; they then generate new pieces based on these learned characteristics. AI art generators are applied in a wide range of art forms including paintings, drawings, educational illustrations, sculptures, and advertising material.

The Impact of AI Story Generators: The Future of Video Streaming

Production giants such as Warner Bros and Marvel Studios have used AI to help create, cast, and market content. Although scripts written by an AI story generator tool may not yet rival the complexity and nuance of human-written stories, they are improving rapidly. In the near future, AI could potentially create entire movies, modeling the style, dialogue, and narratives of prominent directors and screenwriters. This could drastically transform how we experience visual media.

Additionally, this shift could make movie and TV show creation more accessible, empowering anyone with AI software to generate content. This could cause a proliferation of new media—making it harder for streaming services to stay competitive in terms of content diversity and originality.

As AI advances, it’s key that the entertainment industry adapts and innovates new business models that can coexist with emerging capabilities. To succeed in the age of AI, the industry must continue leveraging genuine human creativity. After all, AI cannot replicate human perspectives, cultural nuances, and emotional connections with audiences.

Generative AI and The Entertainment Industry: Raising Concerns

Despite its vast knowledge and the incredible speed at which AI technology functions, it has not always been accepted with open arms by the entertainment industry.

The ongoing 2023 Hollywood strike marks the first time the actors’ and writers’ unions have simultaneously gone on strike since 1960. Members of both the Writers Guild of America and the Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) went on strike in July; the future of generative AI and its ethical, moral, and financial threats stand at the forefront of both unions’ list of concerns, albeit in different ways.

Writers are concerned that AI tools like AI art and story generator could replace them in generating new scripts; meanwhile, actors highlight that digital replicas of their likenesses could drive smaller acting roles into obsolescence. SAG-AFTRA has urged for stronger rules to protect actors against misuse of their voices, images, and performances.

In an instance of poetic timing, the recent season premiere of the cultural dystopian phenomenon Black Mirror, “Joan Is Awful” (S06E01), touches on SAG-AFTRA’s concerns in vivid detail. In the episode, Joan realizes her life is being used for the plot of a streaming series. Unfortunately, she also finds out she has no legal foot to stand on to protect her privacy. Her lawyer also explains that Joan can’t sue the actress depicting her since she is an AI-generated deep fake character. Privacy, copyright, and identity infringements are all aspects the guild hopes to address with these mass strikes.

Regulatory bodies need to determine who will be liable if the AI’s output infringes copyright; they also need to determine whether a media company using the AI tool could face infringement charges.

In terms of copyright infringement, the Artificial Intelligence Initiative launched by the U.S. Copyright Office will examine copyright law and policy concerns raised by AI. This includes investigating the copyright protection of AI-generated content, as well as the use of copyrighted work in AI training.

ai story generator legal ramifications
Photographer: TSViPhoto | Source: Shutterstock

Smart Partnerships Can Help You Navigate OTT Distribution Complexities

It’s no secret that AI has developed faster than we can keep up with. Top AI companies including Google, Microsoft, OpenAI, and Anthropic have recently formed a Frontier Model Forum; aiming to promote responsible AI development, the Forum will work with policymakers and researchers to establish best AI safety practices, investigate AI risks, and provide data to governments and civil society.

As the industry navigates the implications of AI content creation and story generator tools, it’s key for content owners to work with a reputable distribution partner. dotstudioPRO offers content publishing to multiple destinations, OTT infrastructure and system integration, and multiple monetization tools in a single dashboard.

If you’re ready to launch your DTC streaming network but are unfamiliar with the technicalities and digital rights management, dotstudioPRO is the partner for you. We’ll equip you to reach a larger audience and produce a stable revenue, taking care of digital rights management and streamlining distribution technicalities to save you the effort.

Get in touch today to launch your DTC streaming network quickly and cost-effectively.

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