Uber has submitted a plan for artificial intelligence that detects a user’s drunken behavior.
The system tracks how someone typically uses Uber’s app: how quickly they type (and with how many typos), how precisely they click on buttons, their walking speed, and the way their phone is typically held or dropped on any given day.
Factors like these are plugged into Uber’s planned algorithm, along with details about when and where the ride was requested. A late-night Uber call or one that’s from an area loaded with bars, would tip the system off about a rider’s sobriety differently than a daytime call from the suburbs.
Read the article at The Verge.