Generative AI Governance

Generative AI governance refers to the frameworks, policies, and processes that organizations establish to oversee the development, deployment, and use of generative AI systems like large language models. This includes managing risks related to data privacy, model accuracy, bias, intellectual property, and potential misuse while balancing innovation with compliance requirements. Enterprises need robust governance structures in this area because generative AI introduces novel regulatory challenges and liability concerns that traditional AI governance approaches may not adequately address.

1 item

Corporate PolicyUS2026-09-02

Google's Hollywood Licensing Push Formalizes Training Data Compliance Norms

Google is pursuing licensing agreements potentially worth billions of dollars with major studios including Disney, Warner Bros. Discovery, and Universal to use copyrighted content for AI model training. The deals follow Google DeepMind's reported $75 million agreement with A24 and an earlier licensing deal between Lionsgate and Runway. As commercial licensing becomes the emerging norm for training data sourcing, enterprise compliance programs that assess third-party AI vendors on provenance criteria face new pressure to formalize those requirements.

Google Google DeepMind training data licensing copyright compliance AI training data intellectual property vendor due diligence generative AI governance