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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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Surprises in the No Surprises Act: An Interview with Greg Fann (Part 2)
Surprises in the No Surprises Act: An Interview with Greg Fann (Part 2) This article is an update on the No Surprises Act, which is a U.S. Act aimed to reduce the risk that a person unexpectedly ...- Authors: Kristi Bohn
- Date: Nov 2024
- Competency: Communication; External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Health & Disability; Health & Disability>Health insurance; Public Policy; Health & Disability>Claims - Health & Disability; Health & Disability>Provider networks
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TAXING TIMES Looks Back
TAXING TIMES Looks Back The article introduces two previously published articles. TAXING TIMES, November 2024 In addition to our articles on current, cutting-edge tax topics, TAXING TIMES Times ...- Date: Nov 2024
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Publication Name: Taxing Times
- Topics: Public Policy
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The Rewards of Teaching and Mentorship in the Actuarial Profession
The Rewards of Teaching and Mentorship in the Actuarial Profession Actuary Dave Dillon describes his role volunteering his time as a teacher in higher education, including the rewards and ...- Date: Jun 2023
- Competency: Communication; External Forces & Industry Knowledge; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Publication Name: Expanding Horizons
- Topics: Actuarial Profession; Actuarial Profession>Mentoring; Actuarial Profession>Professional development; Public Policy; Public Policy