Guidelines for API Protection for Cloud-Native Systems

With artificial intelligence systems increasingly woven into critical decision-making, understanding and mitigating bias is more important than ever. This NIST publication offers a structured approach for measuring AI bias and assessing its potential impact across social, technical, and contextual dimensions. It doesn’t just flag problems—it guides stakeholders through a process of framing, prioritizing, and testing for bias based on real-world use cases. The goal is to support more trustworthy, equitable AI outcomes in both public and private sector deployments.