Uber turns to A.I. to identify drunk riders

Uber turns to A.I. to identify drunk riders

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. Even the angle of the phone could be taken into account. The time of day, and where a ride is requested may also be considered.

"The model is trained to predict whether the user is acting uncharacteristically by analysing the submitted request as well as data collected about the user before and/or during the time the user submits the request", the patent states.

The patent also says that the service Uber provides to the user could change, as a result.

"We are always exploring ways that our technology can help improve the Uber experience for riders and drivers", the spokesperson said.

Uber likely sees this as a potential way to reduce friction points between passengers and drivers.

According to the application, the machine learning is created to limit safety incidents and personal conflict incidents which "can occasionally occur when users and/or providers behave uncharacteristically". "Therefore, it is desirable to minimize the impact of such safety incidents in travel coordination systems". "Some examples of trip variations include matching the user with only certain providers, alerting a provider about the user's possible unusual state, and modifying pickup or drop-off locations to areas that are well lit and easy to access", the patent reads. "We file patent applications on many ideas, but not all of them actually become products or features". Uber is working on a plan to detect a user's drunken behavior before they get into the back seat.

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