Data Provenance Explained in 60 Seconds | Tracking Data Origins in AI Systems

Описание: Data provenance is becoming critical as AI systems move into high‑stakes domains like finance, healthcare, and law. In this 60‑second glossary video, you’ll learn what data provenance means, how it works in practice, and why it matters for trustworthy, auditable AI.

We break down the idea in plain English, give you a simple mental model, and show a concrete example from real AI workflows.

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What you’ll learn:
• A clear definition of data provenance in the context of AI
• How to think about data provenance as a "version history" for data
• A practical example of provenance in an AI training pipeline
• How data provenance connects to responsible and auditable AI
• Why provenance is increasingly important for regulation, debugging, and risk management


Chapters:
00:00 Intro
00:05 Plain-English Definition
00:20 Mental Model
00:46 Practical Example
01:13 Why It Matters


#DataProvenance
#AiDataGovernance
#ResponsibleAi
#MlDataLineage
#AiAuditability

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   • Responsible & Applied AI  
   • AI Foundations  


Please post your questions below in the Comments -- I'll be happy to respond a.s.a.p.

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