One week and two great audiences for Explainable AI!
On Monday (10/7), my coauthor Justin Klevs and I presented processes and examples for explainable AI at the Bank AI Chicago conference. It was also an opportunity to listen to and interact with bankers, regulators, data scientists, and technologists touching upon various topics in operationalizing AI, bias in AI, privacy, interpretability and explainability. One important takeaway is that explainability should be designed to address multiple stakeholder concerns, especially i
