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Taming the Data: Complexities in Machine Learning and Explainable AI

A few weeks ago, I was on the panel for Explainable AI at the PRMIA Fintech Horizons Conference in SF. The participants were predominantly from the finance industry like Banks, Hedge Funds and Fintech Startups.

We had a very interesting discussion on the complexities in machine learning and explainable AI plus topics like:

  • Automated AI vs Human-Centered AI
  • How catastrophic can it be when a Business Risk is left unmanaged?
  • Example: Boeing 737 Max 8 failure
  • Special challenges in Quantitative Finance with AI. Can we quantify Model Risk in terms of a $-value?
  • Who in the organizations needs to care about Explainable AI? Is it the Data Scientist? Chief Risk Officer? Business Owner?

Podcast of the discussion

Participants:

Bob Mark – Former CRO & Treasurer of CIBC, Managing Partner Black Diamond Risk - Moderator

Krishna Gade – Founder & CEO, Fiddler Labs 

Jos Gheerardyn – Founder & CEO, Yields.IO

Hersh Shefrin - Mario L. Belotti Professor of Finance, Santa Clara University

Starting from left: Bob Mark, Jos Gheerardyn, Krishna Gade, and Hersh Shefrin