Big Data

Comment / Letter

DSAC Comments to IAIS on a Public Consultation on AI

The Data Science and Analytics Committee (DSAC) submitted comments to the International Association of Insurance Supervisors (IAIS) on IAIS’ public consultation draft application paper on the…

Issue Brief

Defining Big Data

The Data Science and Analytics Committee released an issue paper, Defining Big Data. The paper is intended to build a shared language and concepts of big data and associated themes for the actuarial…

Issue Brief

DSAC Issue Brief Examines Data Bias

The Data Science and Analytics Committee (DSAC) released an issue brief, An Actuarial View of Data Bias: Definitions, Impacts and Considerations. The issue brief—the first in a new DSAC series…

Issue Brief

An Actuarial View of Data Bias: Definitions, Impacts and Considerations

This issue brief examines the key types of data bias that actuaries may encounter and focuses on the kinds of biases found in modeling data and the implications for algorithmic outcomes. 

Issue Brief

DSAC Releases Issue Brief on Big Data in Actuarial Modeling

The Data Science and Analytics Committee (DSAC) released an issue brief, Big Data and Algorithms in Actuarial Modeling and Consumer Impacts. It outlines big data issues confronting actuaries and…

Issue Brief

DSAC & RETF Release Major Issue Brief on Correlation and Causation

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…

Presentation

DSAC Presents to NAIC CASTF Book Club on Big Data and Algorithms Issue Paper

The Academy’s Data Science and Analytics Committee (DSAC) presented to the National Association of Insurance Commissioners’ (NAIC) Casualty Actuarial and Statistical (C) Task Force (CASTF) Book…

Issue Brief

Academy Releases Major Issue Paper on Big Data and Consumer Impacts

The Data Science and Analytics Committee released a major issue paper, Big Data and Algorithms in Actuarial Modeling and Consumer Impacts. 

Data Science and Analytics Committee Submitted Comments to Federal Agencies on AI

RMFRC’s Data Science and Analytics Committee (DSAC) submitted comments in response to a joint request for information and comment from several federal agencies regarding financial institutions’…

DSAC Update to NCOIL Special Committee on Race In Insurance Underwriting

Data Science and Analytics Committee (DSAC) Chair, Dorothy Andrews, addressed the issue of Race in Insurance Underwriting in a meeting convened by the National Council of Insurance Legislators and…