The WEF report cites many real-life examples and “what-if” scenarios in which there is risk for discrimination when designing algorithms for machine learning systems, including the real potential for exclusionary health insurance systems, Erica Kochi, co-leader of UNICEF’s Innovation Unit, writes in Quartz.
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Katie Kuehner-Hebert is a freelance writer based in Running Springs, Calif. She has more than three decades of journalism experience, with particular expertise in employee benefits and other human resource topics.