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Machine Learning and AI bias needs tackling from ground up

Machine Learning (ML) and AI are the latest concepts to scale Gartner’s hype curve and start penetrating just about every corner of the video ecosystem, including recommendations, security, QoS monitoring, curation, metadata generation, voice driven User Interfaces (UIs) and programmatic advertising. In all these areas they are presented as panaceas that enable intelligence to be automated and scaled up, while avoiding various human biases or preconceptions. Definitions vary but essentially ML embraces algorithms that improve with continued exposure to a given data set or environment without human intervention, while AI includes other techniques that mimic human intelligence in various ways. Lately the hype has been reined in a bit by reality as the limitations of current methods have become clear,…

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