A Policy Roadmap for AI Governance: Promoting innovation and competition while prioritizing safety and security

By Camille Stewart Gloster, Data & Trust Alliance

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Remarks on Data Transparency at Public Briefing, NAIAC

Jon Iwata, Executive Director, Data & Trust Alliance, delivered remarks at a public briefing on Data Transparency held by the National Artificial Intelligence Advisory Committee on February 22, 2024

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Leading Corporations Introduce Data Provenance Standards

First cross-industry standards to bring transparency to the origin of data. Aims to enhance trustworthiness of many data and AI applications

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Trust and Transparency in Data

By Jon Iwata, Executive Director, Data & Trust Alliance

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President Biden’s Executive Order on Artificial Intelligence

Data & Trust Alliance welcomes the EO on the Safe, Secure and Trustworthy Development and Use of AI

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AI and Board Governance

The National Association of Corporate Directors, in partnership with the Data & Trust Alliance, offers guidance for corporate boards on governance of AI

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Perspectives from the front

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.

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External Link

CEOs may not realize it, but they know what to do about A.I.

By Kenneth I. Chenault and Samuel J. Palmisano

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The Safeguards and the New York City Algorithmic Bias Law

BNH.AI's legal opinion

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Leading Corporations Adopt New M&A Due Diligence Criteria to Assess Value, Risks of Data-, AI-Centric Businesses

“Responsible Data & AI Diligence for M&A” Developed by Data & Trust Alliance

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Leading Employers Adopt Criteria to Mitigate Algorithmic Bias in Workforce Decisions

Data & Trust Alliance Formed to Advance Algorithmic Safety, Built on Responsible Data and AI Practices

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