Auditing Algorithmic Risk
Algorithmic auditing aims to identify and monitor potential harms caused by algorithmic systems. In these scenarios, diverse stakeholders consider specific use cases and collaborate to address critical questions about who could be harmed by such technologies, and how. The authors present two tools — the Ethical Matrix and the Explainable Fairness framework — that can help organizations identify these potential harms.