1 hr 10 min

Jennifer Jordan, Kareem Saleh, Anthony Habayeb, & Slater Victoroff: Explainable AI and Bias in Machine Learning: A Financial Industry perspective QuPodcast

    • Education

Check out the upcoming speakers at: https://qufallschool.splashthat.com/

Subscribe to this podcast at www.anchor.fm/qupodcast

Or

On Apple Podcast at https://podcasts.apple.com/us/podcast/qupodcast/id1510865003

Slides and video at: https://academy.qusandbox.com/#/market/5f4fe5bb99aa4a24691da76e

A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!

Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.

Topic: Explainable AI and Bias in Machine Learning: A Financial Industry perspective

In the last year or so, there has been a significant interest in AI explainability, fairness, and bias. Many regulatory efforts are being proposed to reign in the uncontrolled deployment of AI. Companies on the other hand are grappling with complex black boxes and are figuring out how to build models that are explainable, fair, and bias-free. Many startups are working on interesting technologies to address these issues. In this session, we will discuss AI explainability and Bias from an entrepreneur and investor perspective. and have a discussion on what the opportunities and challenges are and what the future looks like for explainable AI

Check out the upcoming speakers at: https://qufallschool.splashthat.com/

Subscribe to this podcast at www.anchor.fm/qupodcast

Or

On Apple Podcast at https://podcasts.apple.com/us/podcast/qupodcast/id1510865003

Slides and video at: https://academy.qusandbox.com/#/market/5f4fe5bb99aa4a24691da76e

A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!

Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.

Topic: Explainable AI and Bias in Machine Learning: A Financial Industry perspective

In the last year or so, there has been a significant interest in AI explainability, fairness, and bias. Many regulatory efforts are being proposed to reign in the uncontrolled deployment of AI. Companies on the other hand are grappling with complex black boxes and are figuring out how to build models that are explainable, fair, and bias-free. Many startups are working on interesting technologies to address these issues. In this session, we will discuss AI explainability and Bias from an entrepreneur and investor perspective. and have a discussion on what the opportunities and challenges are and what the future looks like for explainable AI

1 hr 10 min

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