4 human-caused biases we need to fix for machine learning

By Glen Ford in The Next Web –

Bias is an overloaded word. It has multiple meanings, from mathematics to sewing to machine learning, and as a result it’s easily misinterpreted.

When people say an artificial intelligence model is biased, they usually mean that the model is performing badly. But ironically, poor model performance is often caused by various kinds of actual bias in the data or algorithm.

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About Radnor Reports

Ken Feltman is past-president of the International Association of Political Consultants and the American League of Lobbyists. He is retired chairman of Radnor Inc., an international political consulting and government relations firm in Washington, D.C. Know as a coalition builder, he has participated in election campaigns and legislative efforts in the United States and several other countries.
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