Bad Data Is Why Healthcare AI Fails

Danette McGilvray with host Chris Hutchins · 47 minutes

About this video

Danette McGilvray joins Chris Hutchins to explain why generative AI amplifies poor-quality data instead of fixing it. They examine data quality debt, embedded bias, metadata-driven governance, the Rule of Tens, and a practical roadmap for trusted information.

Topics covered

  • Why generative AI amplifies unreliable data
  • How data quality debt compounds across a project
  • Why ethics and governance begin in metadata
  • The Ten Steps roadmap for building trusted information

This conversation is educational and does not constitute legal, financial, or regulatory advice.

Danette McGilvray

Featured guest

Danette McGilvray

Data Quality Expert

President of Granite Falls Consulting and creator of the Ten Steps approach to quality data and trusted information.

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