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AI Product Governance Based on the TRISM Framework

  • 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.

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