The TRISM framework offers a structured methodology for managing the risks and opportunities associated with AI systems.
Implementing the TRISM framework effectively requires a multifaceted approach that includes establishing a dedicated AI ethics board or committee, developing a comprehensive AI risk assessment process, implementing robust data governance policies, and promoting transparency and explainability in AI systems.
A hypothetical case study demonstrates the application of the TRISM framework in developing an AI-powered loan application system, highlighting actions taken in trust, risk, impact, security, and management areas.
The TRISM framework enables organizations to ensure responsible and ethical development and deployment of AI technologies, fostering innovation while mitigating potential harms.