AI & Privacy in Design : The Goldilocks 'just right' formula

Hosted by Riley Coleman

In this video

What you'll learn

Master the "Goldilocks" framework for AI privacy protection

Learn a practical approach to sharing just enough information with AI—not too little, not too much

Transform design artifacts safely for AI analysis

Discover simple techniques to anonymize research data while preserving valuable insights

Craft privacy-preserving prompts using JTBD principles

Create AI prompts that protect sensitive information while delivering powerful results

Implement lightweight privacy governance that works

Get practical tools to integrate privacy considerations into your design workflow without bureaucracy

Why this topic matters

Design professionals face a critical privacy dilemma with AI tools. Share too little, and you get useless outputs. Share too much, and risk exposing sensitive data. Real incidents like Samsung's IP leaks through ChatGPT show what's at stake. Learn practical techniques to harness AI's power while protecting what matters—finding that "just right" balance.

You'll learn from

Riley Coleman

Ex Director of Design Operations at Epidemic Sound & Head of Design @ Taxfix.

  • 17 years human-centered design expertise across Not-for Profit, Enterprise and Startups. Including 10 years in Leadership Positions.


  • Led design on 5 AI projects in last 7 years


  • Masters in Human-Computer Interaction and Certificate in AI Ethics certificate from London School of Economics


  • Designed & scaled award-winning harm-minimisation programs recognised by International Red Cross & United Nations


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Go deeper with a course

Designing AI Users Trust
Riley Coleman
View syllabus