Identifying and Mitigating Bias in AI Models for Recruiting
In today’s landscape of AI-driven recruitment, candidate-job matching models play a pivotal role in enhancing the hiring process’s efficiency and effectiveness. This necessitates rigorous evaluation to ensure fairness and equity.
This talk will delve into using LangTest, a sophisticated testing framework, to rigorously assess and mitigate bias within such models.
Featuring two expert speakers, the session will first explore the technical intricacies of the model, its architecture, underlying algorithms, and integration with LangTest to identify and address bias. Transitioning to business implications, we’ll emphasize the importance of unbiased models and what is gained by leveraging AI in fostering diverse and inclusive workplaces.
We’ll highlight the risks of unaddressed bias, such as legal ramifications and reputational damage, alongside the strategic benefits of committing to consistent and fair talent evaluation practices. Attendees will gain a comprehensive understanding of both the technical and business aspects of ensuring unbiased AI in recruitment.
Katie Bakewell
Data Science Solutions Architect at NLP Logix
Katie Bakewell serves as a VP of AI Strategy at NLP Logix, where she joined as the second employee in 2013. Katie has led key projects supporting organizations including the Kids Hope Alliance and the Florida Poison Information Center Networks. She possesses extensive expertise across multiple industries, including human resources, financial services, and healthcare. Her accomplishments include the successful implementation of numerous machine learning projects in these fields.
In addition to her professional work, Katie is deeply committed to education and community service. She co-founded the NLP Logix Data Science Boot Camp that has been running for 10 years, teaching data science to over 50 rising high school seniors in Duval County. She also volunteers as guardian ad litem, serves on the Nonprofit Center of Northeast Florida Board, the Community First Community Advisory Council, and has served as a sherpa for Florida Data Science for Social Good since its inception.
Katie holds a Master’s degree in Mathematics and dual Bachelor’s degrees in Math and Statistics from the University of North Florida. She enthusiastically supports all local sports teams (Lets go Jags, Icemen, Shrimp, and Sharks!).
Jason Safley
Chief Technology Officer at Opptly
