Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle

Unintended biases in machine learning (ML) models have the potential to introduce undue discrimination and exacerbate social inequalities. The research community has proposed various technical and qualitative methods intended to assist practitioners in assessing these biases. While frameworks for identifying the risks of harm due to unintended biases have been proposed, they have not yet been operationalised into practical tools to assist industry practitioners.