Harnessing the Promise of AI: Mitigating Potential Harms Through a Risk-Based Approach
A Policy Roadmap for AI Governance that promotes innovation and competition while prioritizing safety and security.
Assessing third-party model trustworthiness.
Criteria to assess and validate the trustworthiness of third-party AI models—and help organizations evaluate vendors.
A due diligence tool to help M&A teams assess value and risk in acquiring AI startups—from algorithmic discrimination to how culture is an indicator of future value.
Criteria and education for HR and Procurement teams to evaluate vendors on their ability to detect, mitigate and monitor algorithmic bias in their applications and solutions.
The National Association of Corporate Directors, in partnership with the Data & Trust Alliance, offers guidance for corporate boards on governance of AI
The Data & Trust Alliance, with support from IBM, offers a new series of perspectives with practical insights from businesses earning trust with data and AI.