Nicholas Schmidt is an expert in algorithmic fairness and explainable AI. He leverages his background in statistics and economics to address legal, compliance, and model governance challenges. As a founder of SolasAI, he develops bias mitigation tools that empower lenders, fintechs, and insurers to achieve equitable and transparent outcomes in algorithmic decision-making.

SolasAI, a pioneer in Responsible AI Software, accelerates the deployment of unbiased and scalable AI. It measures bias, explains opaque machine learning models, and generates models that maximize fairness and model quality. SolasAI was developed by experts with decades of industry experience who have been trusted by over half of Fortune 50 companies.

Balancing Machine Learning's Promise and Peril: Critical Insights from Consumer Financial Services

Drawing from nearly a quarter-century of collaboration with global lending, fintech, and insurance leaders, this presentation illuminates the art and science of building machine learning and AI models. It showcases successful applications and cautionary tales, revealing the keys to effective algorithmic implementations. By exploring the realms of promise and peril, the talk offers valuable insights into understanding algorithms while simultaneously ensuring they are fair, robust, and successfully implemented.