Zach Lipton, Assistant Professor, Machine Learning Department at Carnegie Mellon University
Carnegie Mellon University Logo

Zach Lipton

Assistant Professor, Machine Learning Department
Carnegie Mellon University

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

Download The Latest Agenda

Conference Day Two: March 20 2019

Tuesday, March 19th, 2019

4:15 PM Panel discussion: Understanding, managing and effectively mitigating the hidden risks associated with AI

  • The risks of the person behind the AI/model: how to remove bias?
  • Coping with tail risks
  • Can you ever model all circumstances in an undefinable and constantly moving market?
  • How can AI measure a risk it hasn’t seen yet?
  • Balancing the compliance and risk demands of creating human understanding of complex models 
  • Overfitting: Have you applied diversification in your quant strategies? A variety of asset classes? Appropriate algorithm choices?
  • Would a failure of model or liquidity mean you have inappropriate risk management in place?

4:55 PM The critical issues of interpretability: understanding what it really means?

  • Underspecified and unclear: have you appropriately defined your model and the properties it satisfies?
  • Understanding causal structure: validating the decisions your machine made
  • Resilience and robustness: The importance of factoring in domain adaptation and distribution shift
  • Anomaly detection: quantifying and actively compensating by modifying your beliefs and constraints