Data Integrity as the Foundation for AI
In this sponsored podcast, LabVantage’s Gary Stimson digs into what it takes to build a data foundation for trustworthy AI. The post Data Integrity as the Foundation for AI appeared first on GEN - Genetic Engineering and Biotechnology News .
Artificial intelligence is rapidly becoming integrated into laboratory operations, underscoring the critical importance of data quality and integrity from the outset. In regulated settings, this necessitates a thorough understanding of data provenance, alterations, and traceability of AI-derived insights or recommendations for verification, scrutiny, and justifiable defense.
In this GEN podcast, LabVantage’s Gary Stimson explores the components required to establish a dependable AI data framework. The dialogue delves into subjects such as data lineage, traceability, explication, and governance, emphasizing the significance of laboratory operations that are audit-ready. It also examines the role of intended application, continuous surveillance, and human review in the responsible deployment of AI.
Podcast Guest: Gary Stimson, Principal Architect and Head of AI Technologies at LabVantage Solutions. The podcast was produced with support from The Genetic Engineering and Biotechnology News.
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