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Announcing the D&TA Data Provenance Standards v1.0.0

By Saira Jesani, Executive Director, Data & Trust Alliance

Blog Post
07.09.24
09.26.24
Harnessing the Promise of AI: Mitigating Potential Harms Through a Risk-Based Approach

By Camille Stewart Gloster, Data & Trust Alliance

Blog Post
07.08.24
Data & Trust Alliance Appoints Saira Jesani as Executive Director, Jon Iwata Becomes Executive Chairman
Blog Post
06.13.24
A Policy Roadmap for AI Governance: Promoting Innovation and Competition While Prioritizing Safety and Security

By Camille Stewart Gloster, Data & Trust Alliance

Blog Post
02.22.24
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

Blog Post
11.30.23
Leading Corporations Introduce Data Provenance Standards

First cross-industry standards to bring transparency to the origin of data, enhancing trustworthiness of many data and AI applications

Press Release
11.30.23
Trust and Transparency in Data

By Jon Iwata, Executive Director, Data & Trust Alliance

Blog Post
11.13.23
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

Blog Post
09.18.23
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

Report
06.15.23
CEOs may not realize it, but they already know what to do about A.I.

By Kenneth I. Chenault and Samuel J. Palmisano

External Article
06.09.23
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.

Report
02.08.23
The Safeguards and the New York City Algorithmic Bias Law

BNH.AI's legal opinion

Blog Post
10.20.22
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

Press Release
12.08.21
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

Press Release