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Bias and Fairness in Modeling and Underwriting
Bias and Fairness in Modeling and Underwriting An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance. By Benjamin Brew, Cole Frank, Amy ...- Authors: Hareem Naveed, Benjamin Brew (Ben)
- Date: Sep 2022
- Competency: External Forces & Industry Knowledge; Professional Values; Technical Skills & Analytical Problem Solving
- Publication Name: Actuary of the Future
- Topics: Modeling & Statistical Methods; Public Policy
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Emerging Topics Community Update
Emerging Topics Community Update The article contains a description of the Emerging Topics Community. The focus of the article is what is a community, what makes the Emerging Topics Community ...
- Date: Jul 2023
- Competency: External Forces & Industry Knowledge; Professional Values; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Publication Name: Actuary of the Future
- Topics: Actuarial Profession
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The Lessons I've Learned
The Lessons I've Learned A list of the lessons the author learned through his own failure(s). The intent is to help readers avoid making the same mistakes and reflect on how far they've come.- Authors: Peter van Laarhoven
- Date: May 2019
- Competency: Communication; Professional Values; Technical Skills & Analytical Problem Solving
- Publication Name: Actuary of the Future
- Topics: Actuarial Profession>Best practices