本文件阐述了与人工智能系统相关的偏见，尤其是人工智能辅助决策方面的偏见。描述了评估偏差的测量技术和方法，旨在解决和处理与偏差相关的脆弱性。所有人工智能系统生命周期阶段都在范围内，包括但不限于数据收集、培训、持续学习、设计、测试、评估和使用。购买本文件时可获得的所有当前修订均包含在购买本文件中。

This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.All current amendments available at time of purchase are included with the purchase of this document.