Diversity, Inclusion and Bias in AI Systems
Labhesh Patel
CTO
Jumio
Most companies are increasingly trying to leverage data science to achieve their business goals, but it's easy to create biased models that disadvantage underrepresented groups. In this episode I get to chat with Labhesh Patel, CTO and Chief Scientist at Jumio. We start by looking at common types of data bias around representation and features that may be highly correlated with protected features (zip codes that are highly correlated with race, for example) and the challenges of supervised learning where the team tagging your data can also introduce bias into models. We then discuss the benefits of increasing the diversity and inclusiveness of both your tagging and modeling teams and questions you can ask as an engineering leader to make sure your data science team is being thoughtful about the potential impact of the models they're building.
Interested in Managing?
Visit our Managing community!
Managing Engineers and Technical professionals is not an easy task however as a community of highly motivated and experienced managers we want to find the best approaches and solutions to manage our teams in the best possible way. Currently our discussion topics are: managing stakeholder expectations, direct management, leadership and org management, creating and maintaining your culture, remote-first, hybrid teams.
VIDEOS RELATED TO MANAGING
Mindaugas Mozūras, VP of Engineering at Vinted
Juan pablo Buritica, SVP Engineering at Ritchie Bros.
On Freund, Cofounder and CEO at Wilco
Joris Dries, CTO at Resonate Solutions
James Kenigsberg, CTO at 2U
Jon Williams, Fractional CTO , Technology Consultant at Gumtree Tech LLC
Kolton Andrus, CTO at Gremlin
Ellen Chisa, Founder-in-Residence at Boldstart Ventures
Andrew Haines, Global Head of Fintech at iTechArt Group
Jeff Casimir, Executive Director at Turing School of Software & Design
Claudius Mbemba, CTO at Spritz (formerly Neu)

Copyright © 2022 CTO Connection, All Rights Reserved