Kathleen Kennedy and Hollywood leaders release Human Generative Workflows framework
A coalition of Hollywood industry leaders has released the 'Human Generative Workflows' framework to establish a common vocabulary for AI integration in film production. The document aims to distinguish between AI tools that assist human creativity and those that replace it, addressing concerns regarding authorship and copyrightability.
Key Takeaways
- The framework differentiates between AI tools for color grading in DaVinci Resolve and prompt-based synthetic performances that replace actors.
- Workflows involving upscaling, sharpening, and markerless motion capture are classified as human-controlled and potentially copyrightable.
- Coalition participants include executives from Paramount+, A24, and CAA, alongside actor Ben Affleck and director Jon Avnet.
- The document explicitly excludes prompt-based generative assets like AI voices and likenesses from being considered copyrightable human work.
Why It Matters
This framework represents a strategic attempt by Hollywood's elite to draw a legal line between technical assistance and creative replacement. By standardizing definitions for AI-assisted tasks like upscaling, the group is building a defense for the copyrightability of modern productions that rely on machine learning. This move signals a shift from resisting AI to categorizing it, forcing the broader streaming ecosystem to decide which generative tools are acceptable for professional workflows. As studios and tech companies negotiate future contracts, the industry should watch for whether these specific definitions are adopted by labor unions or the U.S. Copyright Office to settle ongoing authorship disputes.
Additional Context
The Human Generative Workflows framework arrives amid intensifying efforts by major studios and guilds to shape AI policy in entertainment. In March 2025, the U.S. Copyright Office released the second part of its report on digital replicas and AI-generated content, concluding that purely AI-generated outputs without sufficient human authorship cannot receive copyright protection, a finding that directly motivates the framework's emphasis on classifying human creative contribution. The Writers Guild of America and SAG-AFTRA have both pushed for contractual guardrails on generative AI use in productions since the 2023 strikes, establishing baseline protections that the new framework builds upon with more granular workflow-level definitions. The coalition's approach of distinguishing assistive from replacement uses mirrors language that appeared in the WGA's 2023 MBA, which prohibited AI from being used to write or rewrite literary material.
On the business and regulatory front, the framework's timing coincides with congressional and state-level activity on AI and intellectual property. In July 2025, Senator Thom Tillis introduced the AI Transparency in Entertainment Act, which would require disclosure of generative AI use in films and television submitted for federal copyright registration. The legislation has not yet advanced to committee vote but signals that lawmakers are seeking standardized definitions similar to what the Human Generative Workflows document provides. Meanwhile, the European Union's AI Act entered its enforcement phase in August 2025, imposing transparency obligations on general-purpose AI systems that could affect how Hollywood content is distributed in European markets, adding urgency for the industry to define its own standards before regulators impose external ones.
From a technical and production standpoint, the framework's taxonomy of AI-assisted workflows aligns with tools already embedded in post-production pipelines. Blackmagic Design's DaVinci Resolve, mentioned as one of the tools in the coalition's discussion, added AI-powered features including facial recognition for media organization and neural engine-based upscaling in its version 19 release, capabilities that would fall squarely into the framework's "assistive" category. Lucasfilm itself has been an early adopter of AI-assisted production techniques; the studio's Industrial Light & Magic division deployed machine learning for de-aging and environmental generation in recent productions, making Kathleen Kennedy's leadership of this framework a natural extension of the company's operational experience with these tools. The framework's classification system could become a reference point for how studios document AI usage in copyright registration filings, potentially influencing U.S. Copyright Office guidance as it continues to refine its position on human authorship requirements.
Read full article at variety.com
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