Season 6, Episode 20: Unveiling the Future of Data Integrity: Exploring the Data Provenance Standards (with Kassi Burns and Olga V. Mack)
Notes To My (Legal) Self
Data Provenance Standards Initiative and the Importance of Tracking Data Source
The chapter discusses the development of the Data Provenance Standards Initiative by the Data and Trust Alliance, which aims to establish cross-industry metadata standards for transparency in data sets. It emphasizes the importance of tracking the source and appropriate use of data in AI models, addressing issues like inadequate information in demo databases. The chapter also explores the potential impact of data provenance standards on AI model development and the challenges and benefits of standardizing metadata for data sets.
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