Intellectual Property (IP) Infringement

Mitigation strategy

1. Implement a Post-Generation IP Infringement Detection and Mitigation System Establish a revised generative paradigm featuring an automated, integrated module for real-time post-generation screening. This system must analyze the content for high resemblance to known intellectual property (IP), such as trademarked characters or copyrighted works. Mitigation should be executed through guidance techniques during the diffusion process or by flagging the output for mandatory human clearance, thereby reducing the probability of deploying infringing material without retraining or fine-tuning the underlying generative model. 2. Mandate a Comprehensive Internal AI Policy with Output Clearance Procedures Formulate and enforce a robust internal AI governance policy that requires a cross-functional review process for all AI-generated content intended for public or commercial use. This policy must explicitly mandate human oversight for clearing outputs, ensuring strict compliance with existing copyright and trademark laws, and documenting the human creative contribution to establish clear IP ownership for derivative works. 3. Establish Clear Contractual Indemnification and License Terms Prioritize the procurement of enterprise-grade AI licenses that include explicit contractual indemnification against third-party IP infringement claims arising from the model's output. Furthermore, conduct rigorous AI vendor due diligence to ensure the model provider maintains clear data provenance records and offers transparent terms regarding data input usage, IP ownership of generated assets, and the option to exclude proprietary data from future model training.