What if airport “random checks” relied less on hunches and more on measurable behavior? CEO Galvin Widjaja of Lauretta AI explains how ambient intelligence can contextualize actions in physical spaces to reduce bias and improve safety without using facial recognition or permanent IDs. He shares the design choices behind “privacy by design,” why removing priors matters, and how behavior-first data can make decisions fairer at checkpoints, venues, and city streets.
You’ll learn:
How “ambient intelligence” interprets narratives of behavior rather than identities
Practical ways computer vision can add objectivity without biometrics or long-term data retention
Where legislation helps and where product design must lead
Why more data can shrink the role of stereotypes in frontline decisions
What breakthroughs in vision models mean for robotics and everyday tools
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