Log in / My SOA
Refine your search

Advanced Search

Enter the criteria below to perform an advanced search. Entering more criteria narrows your search; entering less criteria broadens your search. To browse SOA content, visit Browse by Topic or Publication Browse.

 

Find results with ALL of the words:
Find results with the EXACT phrase:
Find results WITHOUT the words:
Find results by Date:
From To
Find results for a specific AUTHOR:
{{ results.start }} - {{ results.end }} of {{ results.hits }} Authors Found prev | next
Author
Search {{ authorName }}
1 - 4 of 4 results (0.25 seconds)
Sort By:

  • AI: Past, Present, and Future

    AI: Past, Present, and Future The purpose of this report is to demonstrate how artificial intelligence applications have grown since their infancy and invite the reader to consider the vast data ...

    View Description

    • Authors: Shankar Vaidyanathan
    • Date: May 2019
    • Competency: External Forces & Industry Knowledge
    • Topics: Technology & Applications>Artificial intelligence & machine learning

  • Literature Review: Artificial Intelligence and Its Use in Actuarial Work

    Literature Review: Artificial Intelligence and Its Use in Actuarial Work A literature review report that looks at research on how artificial intelligence is used in actuarial work. 12/3/2019 ...

    View Description

    • Authors: Nicholas Yeo, Min Jyeh Ooi , Jie Yin Liew
    • Date: Dec 2019
    • Competency: External Forces & Industry Knowledge
    • Topics: Technology & Applications; Technology & Applications>Artificial intelligence & machine learning

  • Data Challenges in Building a Facial Recognition Model and How to Mitigate Them

    Data Challenges in Building a Facial Recognition Model and How to Mitigate Them View the Data Challenges in Building a Facial Recognition Model and How to Mitigate Them 1/27/2023 12:00:00 AM ...

    View Description

    • Authors: Society of Actuaries
    • Date: Jan 2023
    • Competency: External Forces & Industry Knowledge
    • Topics: Technology & Applications; Technology & Applications>Artificial intelligence & machine learning

  • Using Interpretable Machine Learning Methods: An Application to Health Insurance Fraud Detection

    This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in ...

    View Description

    • Date: Jan 2024
    • Competency: External Forces & Industry Knowledge; Strategic Insight and Integration
    • Topics: Health & Disability; Health & Disability>Health insurance; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
    • Per Page: