On 20 May, Managing Director Ling Ling Ang will speak during the “AI in Lending and Underwriting: Preventing Bias and Disparate Impact” panel at the AI & RegTech for Financial Services and Insurance Summit. Dr. Ang will be joined by Kissel Straton & Wilmer LLP Partner Meredith Challender to discuss how credit and pricing models face the toughest fairness questions and new state laws heighten expectations for testing and transparency. Data quality, feature selection, and outcome monitoring all factor into legal risk and examiner comfort. This session will explore how programs are proving fairness without sacrificing accuracy. Topics of discussion include:

• Selecting features and mitigation techniques so fairness improves and strength remains intact;
• Generating clear explanations and adverse-action content so customer communications satisfy exam standards;
• Validating data lineage and representativeness so drift and legacy bias do not erode outcomes over time; and
• Running pre- and post-deployment fairness tests to ensure corrective actions are timely and defensible.