Rachel Okonkwo

Rachel Okonkwo

Contributing AI Ethics Researcher

PhD candidate in AI Ethics at MIT, former Deloitte AI audit lead, IEEE member

About

Rachel spent three years running AI ethics audits at Deloitte, where she discovered that most enterprise AI tools fail basic bias tests that nobody bothers to run. She left consulting to build the evaluation methodology she wished her Big Four clients had been willing to pay for. Every tool she reviews gets tested for demographic bias across 14 different input categories, output consistency under adversarial prompting, and data retention practices that the privacy policy conveniently doesn't mention. She's currently finishing her PhD at MIT on algorithmic accountability, and her dissertation committee keeps asking why she spends so much time writing tool reviews instead of papers.

6 years of experience in AI tools.

Expertise

  • AI bias detection
  • Output accuracy testing
  • Data privacy
  • Enterprise AI governance

Articles by Rachel Okonkwo