Uber has submitted a patent application to the United States Patent and Trademark Office in which it details an AI that can identify drunk and exhausted passengers.
The premise of the software is to use a learned algorithm to determine a user's state of inebriation. Simply put, using machine learning, Uber would be able to know whether the person making the call for a trip is intoxicated or exhausted.
Furthermore, passengers might not be given the option to be included in a shared ride, based on their state, and as for Uber drivers, drunk passengers is notably a drawback of the job. The time of day, and where a ride is requested may also be considered.
Uber drivers could soon know if you are drunk before you have even been picked up.
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More often than not, it limited players from speaking to other schools in the same conference or on future schedules. The so-called autonomy conferences will consider two different proposals to allow schools to cancel the aid.
Uber has filed for a new patent that would allow it to monitor the behavior of the riders.
Uber plans to use as data gathering tools motion sensors, device angle sensors, GPS, and touch sensors built into a screen. Based on the patent, the system appears to be one that depends on past user data to predict future behaviors.
The authors of this patent application are current or former members of Uber's Trust & Safety team. The official report says the company is working on artificial intelligence tech for this new patent.
Ironically, Uber is concerned about drunk passengers assaulting their drivers while it is turning a blind eye to the many cases of sexual assault by Uber drivers.