A practical tool for organizations to evaluate AI vendors—not just for risk, but for business value.
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.
The first cross-industry metadata standards to bring transparency to the origin of datasets used for both traditional data and AI applications.
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.
By Saira Jesani, Executive Director, Data & Trusted AI Alliance
The National Association of Corporate Directors, in partnership with the Data & Trusted AI Alliance, offers guidance for corporate boards on governance of AI
The Data & Trusted AI Alliance, with support from IBM, offers a new series of perspectives with practical insights from businesses earning trust with data and AI.
The National Association of Corporate Directors (NACD), in partnership with D&TA, releases new guidance for directors on implementing AI governance