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Summary:
By now, most AI practitioners acknowledge the universal prevalence of bias, and the problem of bias in AI modeling. But what about fairness? Can fairness be measured via quantifiable metrics? Some say no - but this is where the debate gets interesting.
Bias is a universal trait among humans. It can be meaningless, or it can be dangerous. For example, I am biased about the Philadelphia Phillies baseball team. If a Phillies pitcher competes for the Cy Young Award at the end of the season, I am likely to extol the former s virtues and denigrate those of the latter. Unless I m a member of the Baseball Writers Associations who vote on such things, it makes no difference. It affects no one. It s harmless, and we all have them.