“Specifically, this special publication:
- describes the stakes and challenge of bias in artificial intelligence and provides examples of how and why it can chip away at public trust;
- identifies three categories of bias in AI — systemic, statistical, and human — and describes how and where they contribute to harms;
- describes three broad challenges for mitigating bias — datasets, testing and evaluation, and human factors — and introduces preliminary guidance for addressing them.”