Episode 176 — Data Provenance: It’s Time for Standards | Data & Trust Alliance’s June 2024 Version 1.0.0

It’s time for standards about data provenance. Unless information is reliable and trustworthy - and able to be used properly - datasets hold doubtful value. Yet, datasets are the foundation of Artificial Intelligence. Standards for the provenance of data are thus essential, as Episode 175 explored. Enter the June 2024 release of Data Provenance Standards of the Data & Trust Alliance, or D&TA. https://dataandtrustalliance.org/work/data-provenance-standards Standards covering the Source, Provenance, and Use of data resulted from extensive cross-industry development, testing, and validation. D&TA’s pioneering work offers the opportunity for comment and participation to put version 1.0.0 into widespread adoption and enhancement. Kristina Podnar, D&TA’s Senior Policy Director, discusses with the Detective why standards are needed, what D&TA recommends, why it is important to have an industry approach to setting standards, and how personal privacy interests can be addressed within the use of datasets. Listeners will learn how D&TA standards are already in evolving use and validation and how they can apply to differing types of organizations. Tune in to Episode 176 and learn how you can comment and participate in the creation and adoption of data provenance standards that are essential to AI’s expanding use and a successful digital age . The first 155 episodes of Data Privacy Detective can be found on the feed of the Frost Brown Todd Podcast. You can listen on Apple Podcasts (https://apple.co/3IrHUTg), Spotify (https://bit.ly/49XRU2k), or Soundcloud (https://bit.ly/3T8EWrw).

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