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Netflix aims to personalize AI bias for recommendations

Bias in Machine Learning and AI has become a hot topic across all industries, but is particularly relevant for video services because it cuts across just all aspects of the content lifecycle. Sometimes called algorithmic bias, it has relevance in TV for security, metadata management, QoS monitoring, personalization, recommendation and even content production. Netflix has been most famous for pioneering application of AI to content discovery and personalization and has also been among the first major players to address bias. The idea emerged that there was nothing wrong with bias so long as everybody gained something from it. The aim was to make its service biased in favor of every subscriber by adapting exquisitely to their needs. Not surprisingly, this…

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