Excerpt: “The intent of this document is to surface the salient issues in the challenging area of AI bias, and to provide a first step on the roadmap for developing detailed socio-technical guidance for identifying and managing AI bias. Specifically, this special publication: 1) describes the stakes and challenge of bias in artificial intelligence and provides examples of how and why it can chip away at public trust; 2) identifies three categories of bias in AI — systemic, statistical, and human — and describes how and where they contribute to harms; 3) describes three broad challenges for mitigating bias — datasets, testing and evaluation, and human factors — and introduces preliminary guidance for addressing them.”
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