For the full agenda and list of speakers, please visit the Event Website.

Event Overview

On behalf of the U.S. Department of Commerce and National Institute of Standards and Technology, FinRegLab, and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), we would like to invite you to virtually attend "Artificial Intelligence and the Economy: Charting a Path for Responsible and Inclusive AI,” on April 27, 2022 from 9:00am-4:00pm ET.

This symposium will bring together leaders from government, industry, civil society, and academia to explore potential opportunities and challenges posed by artificial intelligence and machine learning deployment across different economic sectors, with a particular focus on financial services and healthcare.

The event is designed to address how these technologies relate to ensuring inclusive economic growth, supporting diversity and financial inclusion, and mitigating risks such as bias and unfairness. It will feature presenters and panelists on the cutting edge of researching fairness and explainability in AI, as well as those working to develop policies and frameworks to evaluate and assess the goals of improving the trustworthiness, inclusiveness, and equity of AI deployment.

April 28, 2022 | ML Explained: Evidence on the Explainability and Fairness of ML Credit Models

FinRegLab will host a virtual conference on April 28 featuring research being conducted by FinRegLab and Professors Laura Blattner and Jann Spiess of the Stanford Graduate School of Business on the use of machine learning in credit underwriting, with a particular focus on their potential implications for explainability and fairness.

Click here for more information and to register for the virtual conference on April 28, 2022.

Artificial Intelligence and the Economy Virtual Event