Publish Date:
07/06/2022
Category: Topics:Data Science / Big Data, Financial Reporting, Public Policy, Risk Management
The Data Science and Analytics Committee, in partnership with the Racial Equity Task Force, released a major issue brief, An Actuarial View of Correlation and Causation – From Interpretation to Practice to Implications. The issue brief provides a discussion of key questions that actuaries may encounter as they work in the risk classification domain; actuarial practices surrounding data, predictive modeling, and risk classification that are also key considerations for public policymaking and regulatory efforts aimed at ensuring that insurance practices are not “unfairly discriminatory.”