Our only KPI is adoption by practitioners in business, beginning within the Alliance.
Our Latest Initiative
Data Provenance Standards
The first cross-industry metadata to bring transparency to the origin of datasets used for both traditional data and AI applications. Experts from 19 D&TA organizations have co-created these standards to help organizations determine if data is suitable and trusted for use.
Initiative NO. 2
Responsible Data & AI Diligence for M&A
The Data & Trust Alliance has created Responsible Data & AI Diligence for M&A, a new tool for use by M&A teams in their target screening and due diligence to assess the value and risks of data, algorithms and the cultures in which they are built.
Initiative NO. 1
Algorithmic Safety: Mitigating Bias in Workforce Decisions
D&TA developed Algorithmic Bias Safeguards for Workforce to provide criteria and education for HR teams to evaluate vendors on their ability to detect, mitigate, and monitor algorithmic bias in workforce decisions—from hiring and promotion to productivity and compensation.
and civil society helped test and refine the safeguards.