Removing bias (using large diverse data) is good, because it escapes local optima traps during Problem Solving.
Of course some taboos or uncommon things are quite important/true, and some are quite bad/false. For example, men ARE usually wood layers, women aren't, and monkeys usually ARE dumber than the human 'race'. While some myths usually ARE false or harmful practices. Any AI that gathers global-based-data will actually discover these biases, not cover them up, because everything supports them as true. And yes, monkeys are dumber, and all humans and lower will have to hope AI doesn't stomp on us small critters but saves us instead, and we'll need to fight for our life. So in the end, we are removing not bias at all, but the bad/untrue facts/humans/cells, all while discovering bias at the global level view. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T5f48a38d4bf69e54-Mf5dfe20dd5d772785e6356df Delivery options: https://agi.topicbox.com/groups/agi/subscription
