Leading Corporations Introduce Data Provenance Standards
Based on the work of experts from nineteen leading enterprises, the Data & Trust Alliance (D&TA) announced proposed data provenance standards, believed to be the first with cross-industry applicability.
- Based on the work of experts from nineteen leading enterprises, the Data & Trust Alliance (D&TA) announced proposed data provenance standards, believed to be the first with cross-industry applicability.
- While the standards may not address every application of AI, we believe they fill an important, longstanding need.”
D&TA’s eight proposed data provenance standards surface metadata on source, legal rights, privacy & protection, generation date, data type, generation method, intended use and restrictions and lineage. - “As a leading global provider of business decisioning data and analytics whose responsible AI strategy is anchored on transparency and trust, Dun & Bradstreet is pleased to partner with the Alliance to test the proposed data provenance standards,” said Gary Kotovets, chief data & analytics officer, Dun & Bradstreet.
- The D&TA’s proposed data provenance standards will help businesses understand and manage data accordingly to safeguard its integrity.”
JoAnn Stonier, Mastercard Fellow of Data and AI: “As AI advances rapidly and opportunities grow, so do data risks.