Katherine Druckman and Ezequiel Lanza, Intel Open Source Evangelists, chat with Melinda Thielbar, Vice President, Data Science at Fidelity Investments. This lively discussion covers pressing issues in fairness evaluation to ensure that AI models work equally well for everyone.

Resources:

The Search For Transparency And Accountability In The Age Of AI-RAI & XAI As Essential Tools, Ezequiel Lanza, Intel

Jurity: State of the Art Open Source Software for AI Fairnessevuation, Melinda Thielbar, Fidelity Investments

Jurity: Fairness & Evaluation Library

Guests: Melinda Thielbar is a researcher and statistical software developer with over twenty years of industry experience. Her career ranges from statistics education to developing algorithms for commercial software to Hollywood script consulting. She co-founded Research Triangle Analysts, a 501(c)(3) not-for-profit focused on education and training for people working in analytics and data science in the Raleigh-Durham area. She works as a Practice Lead for Data Science in Fidelity Investments’ Workplace Investing business. Passionate about helping people discover the exciting world of artificial intelligence, Ezequiel Lanza is a frequent AI conference presenter and the creator of use cases, tutorials, and guides that help developers adopt open source AI tools.

Fairness Evaluation and Responsible AI