Apr 21, 2016 - Lactalis eyeing more buyouts in Indian dairy sector to consolidate presence

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from TradeBriefs FMCG Daily Newsletter

Sree Vijaykumar

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Can an algorithm be biased, possibly even racist? Today, algorithms decide how fast an Uber gets to you, whether you're approved for a loan, whether a prisoner gets parole, who the police should monitor. Ultimately, algorithms are products of human imagination, which means they can be biased. "Algorithms are like a very small child," says Suresh Venkatasubramanian. "They learn from their environment." Venkatasubramanian is a computer science professor at the University of Utah. He's someone who thinks about algorithmic fairness. Algorithmic accountability is a growing discipline across a number of fields. Computer scientists, legal scholars, and policy wonks are all grappling with ways to identify or prevent bias in algorithms, along with the best ways to establish standards for accountability in business and government. Who do you hold accountable when an algorithm makes a biased decision? More here - Comment

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