The Product Experience

How to design AI products that users trust - Nina Olding (Gemini, Meta, Weights & Biases)

12 snips
Nov 19, 2025
Nina Olding, a Staff Product Manager at Weights & Biases with a rich background in AI trust from Google DeepMind, dives into the intricacies of designing user-friendly AI products. She introduces her framework of the three A's: Awareness, Agency, and Assurance, emphasizing how essential user trust is as AI integrates into everyday technology. Nina explores practical design strategies to help users understand when AI is at play and how to control its functions while ensuring they feel secure in its reliability.
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INSIGHT

Three A’s Trust Framework

  • Users need contextual clues to decide whether to trust AI-driven features.
  • Awareness, Agency, and Assurance form the core trust framework for AI UX.
INSIGHT

Invisible Versus Magical AI

  • Invisible AI creates user confusion while magical AI can disorient without context.
  • Make AI's role visible so users don't invent explanations for product behavior.
ANECDOTE

Uber Conversation Shows Public Confusion

  • Nina recounts an Uber driver asking what AI actually is, showing public confusion.
  • She contrasts The New York Times' clear disclosures as a model that builds user trust.
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