Afsheen Afshar

Former Chief Artificial Intelligence Officer and Senior Managing Director Cerberus Capital Management

At Cerberus Capital Management, Dr. Afshar led the development of a proprietary operations platform focused on artificial intelligence and machine learning, the goal of which is to empower Cerberus' portfolio companies and trading desks with the technological, analytical, and cultural perspectives to extract measurable value out of raw data.

He was also previously Chief Data Science Officer of J.P. Morgan’s Corporate & Investment Bank (CIB), overseeing data science functions across all parts of the CIB. As Chief Data Science Officer, Afsheen was responsible for all data science demands across the CIB, shaping and executing on the data analytics strategy for the CIB across all lines of business. Previously, he helped to set up and lead multiple data science teams at Goldman Sachs across many different businesses. Afsheen holds an M.S., Ph.D., and M.D. from Stanford University, and a B.S.E. from Princeton University.

Conference Day One: 16 September 2019

Monday, September 16th, 2019

10:00 AM Trust in AI

Trust and interpretability are vital in allowing asset allocators to increase investment in AI driven funds.  What are the latest developments, and how can you separate the claims from the facts.

Session preview:
Artificial intelligence (AI) has been increasingly hyped over the past few years. This is led to both great hope and great anxiety, primarily rooted in an assumption of how much the output of AI can be trusted. Here we examine some popular examples and posit a framework for how to incorporate AI into existing systems while trusting it neither too much nor too little. Our approach is geared towards utilizing AI for tasks where it is strong while implementing multiple controls that mitigate risk in regimes in which it is weak. Notably, this requires multiple touchpoints with experts in a partnership of human and machine. 

Check out the incredible speaker line-up to see who will be joining Afsheen.

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