Collaborative Intelligence

Presented at the 2024 BayesiaLab Conference in Cincinnati on April 11, 2024.


This presentation picks up where my previous one ended (From Explanations to Interpretations at the [2022 BayesiaLab Conference]../2022-conference/)). Back then, I described our approach to optimize the strengths of machines and humans through interpretable AI. This time, we will focus on the key elements that can make this a winning vs. losing combination (hint: not trivial and not obvious). We will explore the benefits of a neuro-symbolic approach and conclude with a proposed framework for optimal collaborative intelligence.

About the Presenter

Gabriel Andraos jointly leads Voya’s Machine Intelligence group (VMI). As the co-head of VMI, he focuses on research and development in the application of AI and machine learning models for fundamental investing. Prior to this role, Gabriel was a managing partner and co-founder of G Squared Capital LLP, which was acquired by Voya in 2020. For more than 12 years - at G Squared and at Voya – the team has been running virtual employees – analysts, traders, and portfolio managers with transparent, explainable computer models anchored in fundamentals. Before that, Gabriel held senior investment roles in Europe, the U.S., and Asia, combining knowledge and experience in fundamental analysis with the latest tools in computing and data science. Gabriel received an MBA from Harvard Business School and a BA in Economics from Georgetown University. He also has a Certificate in Quantitative Finance and several artificial intelligence, data science, and machine learning accreditations.

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