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  • Chairperson's Corner
    To review 2021 and look forward to 2022 as the new Chair of the Actuary of the Future section council ...

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    • Authors: Yi Ru
    • Date: Jan 2022
    • Competency: Communication; Professional Values; Relationship Management
    • Publication Name: Actuary of the Future
    • Topics: Actuarial Profession
  • Findings and Calls to Action from the SOA Emerging Technology Study
    Findings and Calls to Action from the SOA Emerging Technology Study In 2021, Deloitte and the SOA conducted a research study on emerging technologies in which the current use and future outlook ...

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    • Authors: Arthur da Silva, Yvonne Zhang
    • Date: May 2022
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Actuary of the Future
    • Topics: Actuarial Profession
  • The Future of Actuarial Models
    The Future of Actuarial Models A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, ...

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    • Authors: Nathan Worrell
    • Date: Jul 2022
    • Competency: External Forces & Industry Knowledge; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
    • Publication Name: Actuary of the Future
    • Topics: Technology & Applications>Analytics and informatics; Technology & Applications>Software; Predictive Analytics>Modeling techniques; Technology & Applications>Artificial intelligence & machine learning
  • Lessons Learned From Writing Exams During the COVID-19 Pandemic
    Lessons Learned From Writing Exams During the COVID-19 Pandemic This article explores the challenges of writing exams during the COVID-19 pandemic and lessons learned. By Tiana Zhao Actuary of ...

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    • Authors: Jianan Zhao
    • Date: Mar 2022
    • Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
    • Publication Name: Actuary of the Future
    • Topics: Actuarial Profession
  • 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 ...

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    • 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
  • Meet Your President-Elect and Vice Chair John Robinson, FSA, MAAA, FCA
    Meet Your President-Elect and Vice Chair John Robinson, FSA, MAAA, FCA Interview with John Robinson, SOA President-Elect and Vice Chair, on several topics of importance to the SOA. By Kwesi ...

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    • Authors: Nathan Dennis Pohle, Kwesi S Acquah
    • Date: May 2022
    • Competency: Communication
    • Publication Name: Actuary of the Future
    • Topics: Actuarial Profession
  • Index Insurance’s Potential for Increasing Climate Change Resilience and How Actuaries Can Contribute
    Actuaries can play an active role in social impact toby helping vulnerable communities access otherwise inaccessible insurance that can help increase their climate change resilience and improve ...

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    • Authors: Syed Danish Ali
    • Date: Jan 2022
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Actuary of the Future
    • Topics: General Insurance (Property & Casualty); Environment
  • Navigating Exam Uncertainty During a Pandemic
    Navigating Exam Uncertainty During a Pandemic The article talks through my personal journey of passing actuarial exams during the pandemic. The purpose of the article is to provide readers a ...

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    • Authors: Abhishek Shrivastava
    • Date: Mar 2022
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuary of the Future
    • Topics: Actuarial Profession; Actuarial Profession>Qualifications