Aric Whitewood


Founding Partner
WilmotML


4:20 PM Explainable AI: A fundamentally systematic approach

Combining fundamental knowledge and quantitative techniques into an explainable AI framework for investment decisions:
  • We use a fundamental macro framework to guide data selection and curation, in combination with AI
  • Combining fundamental and quant, how to balance the two

How we approach the prediction problem: 
  • Definition of market regimes
  • Accounting for investor behavior
  • This includes human and machine, as well as machine-only modes of operation

Interrogation versus explanation:
  • The former is used by our team, the latter to provide information to investors
  • What is the best way of surfacing explanations to investment professionals?
  • Investor mental models

Use of the system for:
  • Investing
  • Risk Management
  • Indicators
  • Dealing with new and uncertain regimes



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

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