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Awareness of such biases and proactive techniques to mitigate them are important to ensure AI techniques are good, equitable, and really human-centered.The authors proposed differential replication of equipment learning types, enabling “design survival in really demanding environments” dependant on the knowledge acquired by Earlier trained type