Top 10 AI failures of 2016 - TechRepublic

Winners of an AI-judged beauty contest, which displayed bias against non-white faces. AI has seen a renaissance over the last year, with developments in driverless vehicle technology, voice recognition, and the mastery of the game "Go," revealing how much machines are capable of. But with all of the successes of AI, it's also important to pay attention to when, and how, it can go wrong, in order to prevent future errors. A recent paper by Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, outlines a history of AI failures which are "directly related to the mistakes produced by the intelligence such systems are designed to exhibit." According to Yampolskiy, these types of failures can be attributed to mistakes during the learning phase or mistakes in the performance phase of the AI system.