Our CTO, Jim Olsen, was recently featured in a Built In article discussing AI bias and how to prevent it. In the article, Jim highlights that transparency and continuous monitoring are key to addressing AI bias. He explains that incorporating traceability and explainability in AI systems enables teams to identify and act upon potential biases in predictions. Jim stresses that the gold standard for model monitoring is not perfection but due diligence—using explainability and traceability to demonstrate that efforts are being made to detect and rectify bias throughout the lifecycle of the model.
October 29, 2024