Monday, June 18 | 1:50-3:05 PM
Recommended Prerequisite: General understanding of modern data analytic methods (machine learning, etc.) used in decision-making
Field of Study: Auditing
Businesses, law enforcement and regulators rely on algorithmic decision-making to guide their activity, arriving at the optimal criteria for their choices via machine learning or similar methods. The use of computational methods is often celebrated for its freedom from the errors and biases that present themselves in human decision-making. This session will explore the truth of that perception, highlighting ways in which algorithmic decision making can produce results that reflect the biases of human cognition, or otherwise produce unfair results for minority populations and others.
You Will Learn How To:
Institutional and Complex Litigation, Bates Group LLC
Alex Russell is the director of Institutional and Complex Litigation for Bates Group LLC. He is responsible for managing cases related to institutional disputes involving trust or banking entities; cases related to investment banking, sales and trading; and cases involving high net worth individuals. In addition, he is responsible for managing class action matters and matters involving the assessment of economic damages. He provides quantitative witness testimony in the securities litigation practice area, and substantive testimony related to valuation practices and mathematical modeling in the field of finance. Russell is the co-leader of Bates Group’s big data practice area, and is an adjunct professor of finance at both Linfield College and in the Graduate School of Management at Willamette University.
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