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Activity Number: 39 - Weapons of Math Destruction – Panel Discussion
Type: Topic Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 11:50 AM
Sponsor: Casualty Actuarial Society
Abstract #314105
Title: Weapons of Math Destruction
Author(s): Louise Francis* and Nina Ahmad* and Christopher Monsour* and Robert Miccolis*
Companies: Francis Analytics and Actuarial Data Mining, Inc and JNA Capital and DataRobot Inc. and Miccolis Consulting, LLC
Keywords: social consequences; data science ethics; model risks; financial crisis

Cathy O’Neil’s book Weapons of Math Destruction has highlighted the social impacts and the downside on society of some of the widely used predictive models. Her book highlights the unintended consequences and sometimes apparent discriminatory impact of the use of models on such disparate areas as education, employee hiring decision, insurance and the criminal justice system. O’Neil suggests that some models can codify historic biases. In addition, she suggests that due to opacity and the significant uncertainty in model predictions, individuals can be penalized for “noise” in the models, but unable to determine why they suffered a model induced adverse consequence such as not getting a job or being denied parole. The panelists for this session will discuss the book from the vantage point of their own analytics experience and research.

Authors who are presenting talks have a * after their name.

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