Observed Signal · Dec 8, 2023 · Technical Release · Source: CMSWire · Impact: 3/5 · Sentiment: Positive
Data & Trust Alliance Unveils AI Data Provenance Standards
The Data & Trust Alliance, a cross-industry consortium, announced eight proposed data provenance standards on November 30, 2023, to bring transparency to dataset origins for AI applications. Developed by experts from 19 organizations including IBM, Mastercard, Nielsen, and Walmart, the standards cover metadata on lineage, source, legal rights, privacy, generation date, data type, generation method, and intended use. The standards aim to improve operational efficiency, regulatory compliance, and value generation, and are currently in testing. They are expected to be released in early Q2 2024. The article also discusses the impact on marketing and customer experience, emphasizing enhanced customer trust, regulatory compliance, and better decision-making. Quotes from Rob Thomas of IBM and Kristina Podnar of the Data & Trust Alliance highlight the importance of data provenance for responsible AI deployment.
Data provenance standards could become a benchmark for responsible AI deployment, affecting how marketers and CX professionals handle data, but they are not yet mandatory or industry-wide.
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Key Takeaways & Evidence Grounding
- The Data & Trust Alliance introduced eight data provenance standards on November 30, 2023.
- The standards were developed by experts from 19 organizations including IBM, Mastercard, Nielsen, and Walmart.
- The standards cover metadata on lineage, source, legal rights, privacy, generation date, data type, generation method, and intended use.
- The standards are currently in testing and expected to be released in early Q2 2024.
- The initiative aims to bring transparency to dataset origins for AI applications.
Connected Companies & Entities
13 Entities mapped“Rob Thomas, senior vice president, software and chief commercial officer, IBM and chair of the D&TA Data Provenance initiative, said in a st...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“And it just so happened to debut one year from the public release of ChatGPT, OpenAI's generative AI chatbot that took AI mainstream....”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
“The proposed standards were developed by data, AI, ethics, compliance and legal experts from Data & Trust Alliance companies including: AARP...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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