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WHF Brown Bag Lunch – An Introduction to Artificial Intelligence: The Good, the Bad, and How We Can Be Saved From Our Computers
Mayer Brown
1999 K ST NW.
Washington, DC 20006
Tuesday, September 17, 2019, 12:00 PM - 1:15 PM EDT
Category: Events

WHF Brown Bag Lunch – An Introduction to Artificial Intelligence: The Good, the Bad, and How We Can Be Saved From Our Computers

Artificial Intelligence has moved from being a buzzword to reality, where the decisions made by a computer are affecting nearly all aspects of our lives. Companies and governments use massive amounts of data and often opaque algorithms to predict what we might buy, whether we might default on a loan, how we interact with each other, and even how long we are going to live. While those predictions can make us safer, happier, and better-informed, they could also cause us great harm, whether through bias and discrimination, threats to our privacy, or by making the wrong predictions.

In this presentation, Bryce Stephens and Nicholas Schmidt, both from BLDS, LLC, will help demystify AI by explaining the different types and how they can be used in powerful and helpful ways. They will discuss the regulatory, reputational, and business risks associated with AI use, focusing on how algorithms can create and perpetuate bias. They will discuss how the “black-boxes” of AI are being broken open, allowing us to understand what is driving predictions and how these methods can be used to make AI fairer and safer. Finally, they will provide insight into the essential role that lawyers, compliance officers, and regulators must play in order to ensure the proper use of AI.


 

Speakers: 
Nicholas Schmidt
, AI Practice Leader 
Bryce Stephens, Director, BLDS, LLC  

Date: September 17, 2019   
Time: 12:00 - 1:15 pm 
Location: Mayer Brown, 1999 K Street NW, Washington DC 20006
Metro:  Accessible via the Farragut North & West metro stops

 

Register Here



Speaker Bios

Nicholas Schmidt is a partner at BLDS, LLC, and heads the Artificial Intelligence and Machine Learning Innovation Practice. In these roles, Nicholas specializes in the application of statistics and economics to questions of law, regulatory compliance, and best practices in model governance. As head of the AI/ML practice, Nicholas works with clients to develop and implement techniques that open “black-box” AI models, providing a clearer understanding of AI’s decision-making process. His clients use this work to inform their customers on the extension or denial of credit (“adverse action notices”). In his fair lending work, Nicholas has developed AI techniques that allow clients to minimize disparate impact in marketing and credit decisioning models. These methods are used in a number of the top-10 U.S. retail banks and FinTechs. Nicholas ALSO testifies and consults on matters relating to employment discrimination litigation, wage and hour law, and other matters requiring the utilization of statistics to address questions of liability or damages. Nicholas holds an MBA in economics and econometrics from the University of Chicago.

Bryce Stephens is a director at BLDS, LLC. Dr. Stevens provides economic research, econometric analysis, and compliance advisory services, with a specific focus on issues related to consumer financial protection, such as the Equal Credit Opportunity Act (ECOA), and emerging analytical methods. Prior to joining BLDS, he spent over seven years as an economist and Section Chief in the Office of Research at the Consumer Financial Protection Bureau. At the Bureau, he led a team of economists and analysts that conducted analysis and supported policy development on fair lending related supervisory exams, enforcement matters, rulemakings, and other policy initiatives. Before joining the Bureau, Dr. Stephens served as an economic litigation consultant, conducting research and econometric analysis across of broad range of practice areas including: fair lending and consumer finance; labor, employment, and earnings; product liability; and healthcare. Dr. Stevens earned his Ph.D. in Economics at the University of Maryland.