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But here is what is perhaps most concerning about how prejudice spreads: Because it is a strategy that can be learned by merely identifying and copying the behavior of another agent, the adoption of prejudicial attitudes is not a decision that requires very sophisticated cognitive abilities.

"We can't teach as fast as things change. By things I mean information. Perspectives. Ideologies. What's socially acceptable and what's not. Our collective cultural biases and intellectual prejudices."

"Bias is a fundamental human characteristic. We are all biased, by our very nature, and every day we make countless decisions based on our gut feelings. We all have preconceived ideas, prejudices, and opinions. And that is fine, as long as we recognize it and take responsibility for it. The fundamental promise of AI, besides the dramatic increase of data processing power and business efficiency, is to help reduce the conscious or unconscious bias of human decisions. At the end of the day, this is what we expect from algorithms, isn't it? Objectivity, mathematical detachment rather than fuzzy emotions, fact-based rather than instinctive decisions. Algorithms are supposed to alert people to their cognitive blind spots, so they can make more accurate, unbiased decisions. At least that's the theory…"