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Uber patent proposes AI method for identifying drunk riders

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In June 2018, Uber filed a US patent application for technology intended to help the company identify drunk riders by comparing data from new ride requests to past requests made by the same user. Conclusions drawn from data such as the number of typos or the angle at which the rider is holding the phone would determine which, if any, driver they were matched with. What plans the company may have for the technology is unknown; however, critics expressed concerns that it could deter prospective riders from using the service and increase the likelihood that people who have been drinking will take the wheel themselves.

https://www.washingtonpost.com/news/business/wp/2018/06/12/uber-wants-a-patent-to-tell-if-you-drink-and-ride/

writer: Rachel Siegel
Publication: Washington Post

 

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People must know what data is generated and processed

People must be able to know what data is being generated by devices, the networks and platforms we use, and the infrastructure within which devices become embedded. People should be able to know and ultimately determine the manner of processing.
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Control over intelligence

Individuals should have control over the data generated about their activities, conduct, devices, and interactions, and be able to determine who is gaining this intelligence and how it is to be used.
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We should know all our data and profiles

Individuals need to have full insight into their profiles. This includes full access to derived, inferred and predicted data about them.
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We may challenge consequential decisions

Individuals should be able to know about, understand, question and challenge consequential decisions that are made about them and their environment. This means that controllers too should have an insight into and control over this processing.
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