Cate Blanchett Launches Human Consent Registry for AI

The Next Web and Euractiv report that actress Cate Blanchett unveiled the RSL Media Human Consent Registry at an event held in the European Parliament in Brussels on June 24, 2026. Coverage from AFP, NZ Herald and Plataforma Media describes the registry as a public website hosted at rslmedia.org where people can record permissions for AI use of their name, image, voice, likeness and movement. Per The Next Web and NZ Herald, users can set one of three machine-readable preferences for each registered item: allowed, allowed with terms, or prohibited. The launch event was hosted by MEP Eva Maydell and attended by director Steven Soderbergh, according to AFP and local reporting.

Reporting across outlets states the registry exposes preferences in a machine-readable form meant for AI developers and third parties to consult before using personal attributes. Plataforma Media and The Brussels Times note the system accommodates individual self-registration and third-party actors such as agents or guilds. Plataforma Media additionally reports organisers describe a planned second phase to extend protections to creative works and registered trademarks; coverage frames that extension as future-facing rather than immediate.

Industry observers: Machine-readable consent signals are increasingly proposed as a pragmatic interoperability layer between legal rules and automated systems. For practitioners, a public registry that encodes consent states as structured data could be integrated into compliance checks or content-generation pipelines where identity filtering or provenance checks are required. Observers following the sector will watch for whether AI developers adopt registry queries as part of pretraining data selection, inference-time content filters, or consent-check gates in production systems.

The launch occurred against the backdrop of European AI policymaking, including the AI Act, which Euractiv and other outlets reference when describing the choice of venue. Coverage frames the initiative as voluntary: multiple outlets flag that the registry currently depends on AI companies and platforms electing to consult it rather than being legally compelled to do so. The project follows a broader creative-industry push against unconsented AI use; several reports reference Blanchett's participation in prior open letters from artists opposing non-consensual model training.

Key indicators of the registry's practical impact will include:

• •whether major AI training-data vendors or model providers integrate registry checks into procurement or data-filtering workflows
• •adoption signals from talent agencies, unions, or representative bodies that might bulk-register members
• •any move by regulators to reference machine-readable consent standards in guidance or transposition of the AI Act. Reported attendance by policymakers and cultural figures gives the registry visibility, but coverage uniformly notes its voluntary nature and the limits that implies for enforceability

For legal, compliance, and ML ops teams, the registry introduces a potential additional metadata layer to consider in data sourcing and model-use governance. Editorial analysis: Companies building content-generation pipelines or datasets should monitor adoption, evaluate the registry's schema and verification mechanisms, and assess how a machine-readable consent signal would interact with existing copyright, portrait-rights, and data-protection obligations.

None of the scraped coverage asserts that AI companies have adopted the registry or that its preferences are legally binding today. Several outlets, including Euractiv and NZ Herald, explicitly characterise the registry as voluntary and note organisers acknowledge it will not solve all issues immediately.

The registry is a visible, voluntary attempt to make individual consent explicit and discoverable to automated systems. Its practical effect will depend on uptake by platforms, integration into developer workflows, and any future regulatory steps that reference or require machine-readable consent mechanisms.