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。

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.