Скачать или смотреть Avoiding prior history and stereotypes

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

#thefutureisbright #ambient #ai #computervision #security #privacy #dataprotection #biometricdata

Chapters
0:00 Welcome and Why “Random Checks” Feel Broken
0:41 Lauretta AI’s Mission and the Minority Report Label
1:30 Techno-optimism Meets Surveillance Fears
2:02 What Ambient Intelligence Actually Measures
6:45 From Events to Narratives: Context Over Snapshots
9:19 Can AI Be Objective? Accountability and Risk
11:10 Policy vs Product Reality in High‑stakes Systems
11:59 Privacy by Design: No Faces, No Permanent IDs
17:29 Behavior-First Data and Shrinking Stereotypes
29:52 Where Bans Stand: State, TSA, and Federal Signals
36:31 Vision’s Inflection Point: Beyond Fixed Classes
40:59 Robots Before Humanoids? Practical Paths to Adoption
44:12 From Oligarchy to Access: When AI Commoditizes
47:49 Inspiration Sources: Games, Strategy, and Systems
51:12 Near‑Term Forecasts for Kids and Home Tech
54:46 Commanding the World: From Intent to Coffee in Hand

Links
Lauretta AI 👉 https://lauretta.io/
Minority Report 👉 https://www.imdb.com/title/tt0181689/