People die of drunk driving every day.
Good thing there’s Uber.
Drunk people now hail a cab so they get home safe.
In today’s technological age, a lot of mobile applications have different purposes and effects on our day to day lives. Companies like Uber, among others, have greatly influenced how we view transportation from hailing a cab to hi-tech cooking to payment method convenience, you are sure to arrive at your destination–in one piece.
Over time and with experience, the company has seen that this mode of transportation is not only suitable but also, safer for drunk passengers. Rather than unmindfully taking a cab or driving under the influence, Uber has thought of an idea to make sure that a drunk passenger is able to reach home safe and not putting any lives in danger along the way.
With that in mind, Uber has applied for a patent to a system that will detect if a passenger booking an Uber car is under the influence of alcohol through machine learning.
That’s great, right? But is it?
Do we get what it entails? With machine learning, the computer has to learn the user’s patterns in order to accurately study the user’s behavior. This means that data from your phone like your location, your walking speed, even to your typing pattern is gathered and stored to be accessed by Uber to make the system accurate and reliable. This information will then be used by Uber to match users with drivers that have the expertise and the willingness to provide service to such users.
But all great ideas come with lots of concerns, privacy and user data security are at the top of it. With all the treasure trove full of user data on Uber’s database, how safe are we really? The company still needs to prove how trustworthy they are to hold such information. A couple of years back the company was made to pay thousands of dollars in fines for reportedly using “God View” to spy on its users.
But who’s to say if they will be successful and this ends up as a feature in the app?
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