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What is the impact of DEI on the life insurance and financial services industry? Does AI bring new risks due to bias in training data or outputs? What about...
As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and disparate impact are considered....
Read later 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'...