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Last Updated: 5/14/2024
Issue: The º£½ÇÂÛ̳ may develop and adopt actuarial guidelines in response to risk and solvency concerns.
Overview: The Life Actuarial (A) Task Force and the Health Actuarial (B) Task Force, formerly known as the Life and Health Actuarial Task Force, are often asked to help state insurance departments interpret a statute on an actuarial topic about an unusual policy form or a situation that was not considered when the statute was originally established. When the Life Actuarial (A) Task Force and the Health Actuarial (B) Task Force interpret a statute, they often consider the intent of the statute, including why the statute was initially adopted, as well as the current environment.
Because these situations are common in all states, the Life Actuarial (A) Task Force and the Health Actuarial (B) Task Force believe that published actuarial guidelines on these topics would be beneficial for state regulatory officials and that the guidelines would promote uniformity in regulation, which is beneficial to consumers and regulators. Therefore, the Life Actuarial (A) Task Force and the Health Actuarial (B) Task Force have developed certain actuarial guidelines and will continue to produce these guidelines as needed. The guidelines should not be seen as statutory revisions but instead as a guide when applying a statute to a specific circumstance.
Recent examples of actuarial guidelines include and , which relate to long-term care insurance (LTCI) and life insurance, respectively. Actuarial guidelines are published in the Accounting Practices and Procedures Manual (AP&P Manual).
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PURPOSE: To facilitate training and the sharing of expertise through predictive analytics webinars (aka "Book Club").
TOPIC: Can Gen AI Review a Pricing GLM?
PRESENTERS: º£½ÇÂÛ̳ P&C Rate Model Review Team
To be determined.
To be determined.
Business Call - Agenda to follow
To be determined.
To be determined.
To be determined.
Business Call - Agenda to follow
To be determined.
To be determined.
Agenda to follow.
To be determined.
PURPOSE: To facilitate training and the sharing of expertise through predictive analytics webinars (aka "Book Club").
TOPIC: How Actuarial Science Can Benefit from AI...and Vice Versa.
PRESENTERS: Frank Chang, Ph.D. (Past CAS President and Vice President Uber Technologies, Inc.), James Guszcza, Ph.D. (Stanford University Research Affiliate and co-founder of Clear Risk Analytics), and Max Martinelli (AKUR8-Lead Actuarial Data Scientist)
Purpose: Continue discussion of proposed edits to the 2026 P/C Statement of Actuarial Opinion (SOA) instructions and Regulatory Guidance documents.
Minneapolis Convention Center—101—Level 1
Purpose: To facilitate training and the sharing of expertise through predictive analytics webinars (aka "Book Club").
Topic: Balancing Risk Assessment and Social Fairness: An Auto Telematics Case Study
To be determined.
Continue discussion of the long-duration A&H disclosure items and other observations and issues regarding the P/C Statement of Actuarial Opinion instructions.
To be determined.
Discuss and consider adoption of the Alternative Proposal for revised cost-sharing factors associated with the MSA Framework’s Single LTCI Multistate Rate Review Approach.
Agenda – July 10, 2025
Purpose: Discuss P&C actuarial issues.
To be determined.
Agenda – June 26, 2025
PURPOSE: To facilitate training and the sharing of expertise through predictive analytics webinars (aka "Book Club").
TOPIC: The Evolution of Advanced Driver Assistance Systems (ADAS) and Automated Driving
PRESENTER: Matt Moore of HLDI
Agenda – June 12, 2025
Agenda – June 5, 2025
Agenda – May 29, 2025
PURPOSE: To facilitate training and the sharing of expertise through predictive analytics webinars (aka "Book Club").
TOPIC: Wildfire Model Updates and New Geospatial Rating Approach
PRESENTER BIO: Dr. Huairen Ye is an accomplished data scientist and geographer with over 10 years of experience in data science, GIS, and geospatial research. She earned a PhD in Geographic Information Science from the University of Tennessee, where her research focused on healthcare access through GIS and statistical methods. Currently, Dr. Ye serves as the Data Science Lead at Guidewire, where she leads model development and research initiatives, including wildfire risk modeling. Throughout her career, she has consistently delivered impactful solutions, including developing predictive models that generate millions in revenue and successfully leading product development efforts that have shaped industry standards. Her expertise spans statistical modeling, geospatial analysis, big data computation, and risk management, with a strong emphasis on product development and thought leadership. Fluent in English, Chinese, and Minnan, Dr. Ye is passionate about mentoring and empowering the next generation of data scientists.
To be determined.
Agenda – May 15, 2025
Agenda – May 8, 2025
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