MIT Researcher Exposing Bias in Facial Recognition Tech Triggers Amazon’s Wrath
Models that are used for anything important should be explainable. That is, you should be able to get a definitive answer as to why a particular result was achieved <i>in any particular case</i>. If a model does not have this property, it should not be used for anything critical.<p>Also, people should have the right to know when machine-learned models are used to make decisions about their lives. They should be able to ask why a particular decisions was made and get that information.<p>This is <i>real</i> AI ethics.