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Lyft Loses Attempt To Ban Driver Wage Rule In NYC

Lyft’s attempt to jam first-in-the-nation minimum wage rules of New York City for drivers was banned by a state judge this week, as per media reports. Judge Andrea Masley gave the verdict that Lyft’s court case, which was filed in January, was not sufficient to overturn the laws that went live in February.

Below the law that went live in February, ride-hail firms must give drivers minimum $17.22 each hour post expenses. The pay formula employs a supposed usage rate, which accounts for the amount of time a driver spends in their vehicles with passengers in comparison to time spent waiting for a fare or idle.

Lyft states that it supports the law spirit to increase salaries for drivers, but opposes the formula employed to make sure higher payouts. Currently, all for-hire cars in New York City must use the sector rate of 58%. But post a year, Uber will be capable of petitioning for a higher usage rate due to its bigger size. Lyft and Juno (a different ride-hailing company) filed different court cases arguing that the new rule might put them at a competitive drawback to Uber.

Speaking of Lyft, the firm declared that it is appointing Tal Shaked, an engineer who earlier worked at Google, to operate as its first-ever chief of artificial intelligence and machine learning. As per the firm, Shaked will hugely be aiming on enhancing tech used to match drivers & riders and finding new methods to apply ML to platform of the ride sharing firm. Importantly, Shaked’s job will be to make the services by Lyft extra smarter.

Lyft has earlier given some of its uses of ML, comprising detecting fraudulent behavior and understanding out how to entice more riders during slow periods. On the other hand, the firm hardly made any mention of ML or AI in its IPO filing.

Ashleigh Sheppard
Author Details
Content Writer At London Daily Telescope

Creative mentality and basic knowledge regarding the recently developed technologies pushed Ashleigh to pursue her career in content writing. She has achieved a Bachelor’s Degree in Computer Science and after that, she gained experience as a Content Writer from a well-known magazine-publishing platform. She has great curiosity to attend various tech-related exhibitions and events. She always try to keep her knowledge up-to-date related to technological launches and advancements by studying more and more about it in spare time.

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