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Emotion-monitoring AI, part II

This is my second post on the emerging tech of emotion-recognition AI. In my last post, I considered some of the consequences of algorithmic blind spots on likely applications of emotion-recognition tech. In this post, I’ll get into algorithmic bias.

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Emergent tech: emotion-monitoring AI

Back in 2019, when in-person conventions were still a thing, I participated in a Can-Con panel about the future of emotion-monitoring technology and AI. The panel was terrific, with able moderation by Kim-Mei Kirtland and fascinating contributions from my fellow panelists. I’ve written up some of my thoughts from that panel to share here.

Because of my tech background, I always find it interesting to think about the potential effects of bugs in fictional and emerging technology.

This is is the first of a series of posts the emerging tech of emotion-recognition AI, focusing on the strange and dark places that bugs in this tech could take us.

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