Ask the Expert Webinar Series

Fostering Trustworthy AI Using a Model Card

Oct. 17 • 11 a.m. ET • Cost: Complimentary

Register now

About the webinar

Think of a model card as a “nutrition label” for your models. It’s instrumental in building trustworthy AI models.

Join this webinar to learn the steps necessary to complete a model card and the benefits it offers.

You will learn how:

  • A model card is like a “nutrition label,” and why you would use it.
  • A model card supports the development of trustworthy and responsible AI systems.
  • To create and use a model card in SAS Model Manager.

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
 
*
*
 
 
 Yes
 No

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS and SAS business partners about their products and services. I understand I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

About the experts


Sophia Rowland

Senior Product Manager, SAS

Sophia Rowland focuses on ModelOps and MLOps at SAS. Previously, Sophia was a systems engineer on a team that focused on data science and ModelOps applications for the financial services industry. She has spoken at All Things Open and SAS Explore and has written dozens of blogs and articles for Open Data Science, SAS Communities and the SAS Data Science Blog. Sophia is an alumna of both UNC-Chapel Hill and Duke. She double majored in computer science and psychology and received her Master of Science in Quantitative Management: Business Analytics from Duke’s Fuqua School of Business.


Vrushali Sawant

Data Scientist – Data Ethics Practice, SAS

Vrushali Sawant is a data scientist with SAS' Data Ethics Practice, steering the practical implementation of fairness and trustworthy principles into the SAS platform. She regularly writes and speaks about practical strategies for implementing trustworthy AI systems. With a background in analytical consulting, data management and data visualization, she has been helping customers make data-driven decisions for a decade. She holds a master’s in data science and a Master of Business Administration degree.

Register now