OpenAI accused of using Netflix shows to train Sora AI video tool
OpenAI accused of using Netflix shows to train Sora AI video tool
Occurred: September 2025
Page published: September 2025
OpenAI has been accused of using Netflix shows and other copyrighted content without permission to train its Sora AI video generation tool, renewing questions about the company's values, integrity and governance.
A Washington Post investigation uncovered compelling evidence that OpenAI trained Sora on copyrighted content without permission, including Netflix shows, TikTok videos, and major studio films.
The investigation found that Sora closely replicates scenes from popular media including Netflix's "Wednesday," video games like "Minecraft," and animated logos from Warner Bros., DreamWorks, and other entertainment studios.
According to MIT research scientist Joanna Materzynska, who studies AI datasets, "The model reflects the training data. There's no magic involved".
OpenAI maintains it used a combination of "publicly available and licensed data" to develop Sora - a lack of transparency that has fueled criticism, especially from content creators and industry stakeholders, about the apparent unauthorised use of copyrighted works.
OpenAI cites "competitive reasons" for this lack of transparency and evasion of accountability.
The incident highlights the broader challenges in the development of AI products and services around sourcing data ethically while respecting intellectual property rights.
For those impacted - content creators, copyright holders, and viewers - there are significant concerns about creative ownership, revenue, and the implications of AI replicating proprietary media without explicit consent.
The incident also raises questions for policymakers about the regulation of data used to train AI systems.
Text-to-video model
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text.
Source: Wikipedia 🔗
Developer: OpenAI
Country: USA
Sector: Media/entertainment/sports/arts
Purpose: Generate video
Technology: Generative AI; Machine learning; Text-to-video
Issue: Accountability; Copyright; Plagiarism; Transparency
AIAAIC Repository ID: AIAAIC2042