What's Happening?
A coalition of A-list filmmakers and technologists, including producer Kathleen Kennedy and American Film Institute Dean Susan Ruskin, has publicly introduced a new framework called 'Human Generative Workflows' (HGW) to differentiate AI uses in Hollywood.
After over three years of private discussions, the group aims to clarify the ambiguous term 'AI' in filmmaking, which currently encompasses everything from basic post-production tools to machine-generated performances. The HGW framework distinguishes between three forms of AI usage: Utility Techniques & Embedded AI (copyrightable), Human Generative Workflows (copyrightable, artist-controlled), and Machine Generative (likely not copyrightable, purely machine-generated). This initiative seeks to guide the industry toward a shared understanding and responsible integration of AI, ensuring human creative control remains central. The proposal emerged from meetings that began in November 2023, following contentious labor strikes, and expanded into a larger event with 120 participants to test these ideas with a broader industry cross-section.
Why It's Important?
This framework is crucial for Hollywood as it attempts to navigate the complex and often contentious landscape of artificial intelligence. By providing a nuanced vocabulary, HGW aims to move beyond the simplistic 'AI used or not used' binary, which has caused significant friction in contract negotiations, credit discussions, and guild talks. The distinction between human-authored, copyrightable AI applications and purely machine-generated content addresses core concerns about authorship, intellectual property, and job displacement. For artists and studios, clarity on what constitutes human-controlled generative work versus machine substitution can help protect creative integrity and ensure fair compensation. The initiative also seeks to prevent a scenario where technology dictates the creative process, instead positioning AI as a precision instrument in the hands of artists. This proactive approach could establish industry standards, influence future legal and commercial frameworks, and foster collaboration between creative and technological sectors, rather than allowing AI to disrupt the industry without a guiding strategy.
What's Next?
The group plans to publish this vocabulary and invite industry-wide responses, aiming for the draft to evolve into a recognized standard. Key next steps include initiating consent conversations regarding Machine Generative (MG) outputs of actors, where agreement is anticipated to be more readily achievable, and engaging with market-driven labeling efforts that reflect audience demand for transparency. The proposal also suggests establishing a multi-stakeholder body to govern AI integration, ensuring flexibility to adapt to evolving technologies and definitions. Furthermore, the conversation is expected to extend to other creative domains such as music, sound, and writing, to proactively shape AI integration rather than react to it. The industry will need to consider how this framework translates across international co-productions, given varying copyright laws and regulatory approaches in different countries, such as the EU, UK, and China.
Beyond the Headlines
The introduction of the Human Generative Workflows framework delves into the fundamental question of authorship in the age of AI, highlighting the ethical and legal dimensions of creative work. It challenges the industry to define what constitutes 'human-authored' when generative tools are involved, drawing parallels to the evolution of CGI. This initiative could set a precedent for how other creative industries grapple with AI, emphasizing that technology should expand artistic possibility and strengthen authorship, not diminish it. The distinction between copyrightable HGW and non-copyrightable MG content has profound implications for intellectual property rights, potentially reshaping how creative works are valued and protected. Moreover, the effort to foster collaboration between Hollywood and Silicon Valley addresses a broader societal challenge: bridging the gap between technological innovation and humanistic values, ensuring that advancements serve human creativity rather than replacing it. This framework represents a significant step towards a more intentional and responsible future for AI in creative fields.
