Towards a Standard for Identifying and Managing Bias in Artificial Intelligence

concert are a panacea against bias and each brings its own set of pitfalls. What is missing from current remedies is guidance from a broader SOCIO - TECHNICAL perspective that connects these practices to societal values. Experts in the area of Trustworthy and Responsible AI counsel that to successfully manage the risks of AI bias we must operationalize these values and create new norms around how AI is built and deployed. This document, and work by the National Institute of Standards and Technology (NIST) in the area of AI bias, is based on a socio-technical perspective.