Description: This document is a call for essays issued by the Society of Actuaries Research Institute. It seeks submissions that explore the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. The document provides background information, research objectives, and a list of illustrative topics and questions that the essays can address. The submission guidelines, timeline, and evaluation criteria are also outlined.

Description: This document is a call for essays issued by the Society of Actuaries Research Institute. It seeks submissions that explore the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. The document provides background information, research objectives, and a list of illustrative topics and questions that the essays can address. The submission guidelines, timeline, and evaluation criteria are also outlined.

Description: Volatile interest rates, repositioned investment portfolios, and stress in the banking sector are driving insurers to manage market risk and counterparty credit risk. Our experts in investments, derivatives, and hedge accounting will discuss this new market environment and its impact on hedging. The conversation will include practical case studies, including hedging future bond purchases, hedging floating-rate CLOs, and counterparty credit risk management.

Description: As AI becomes more pervasive, we must consider the potential repercussions and risks associated with its widespread use. The SOA seeks essays that delve into the multifaceted risks posed by (AI) over both the short and long term.

Description: Join us for an exciting session as Actuarial Innovation & Technology Strategic Research from the SOA's Research Institute unveils two recently published research reports: ""Unveiling the Life Insurers' Actuarial Transformation Journey and the Impact of Analytics"" and ""Exploring Revolutionary Advances in Underwriting: An Initial Assessment of Epigenetics, Medical Tests, and Wearables"". In the first report, we delve into the evolving landscape of life insurers' Actuarial Transformation efforts, shedding light on their future prospects and emphasizing emerging Advanced Analytics techniques. The second report serves as the inaugural installment of a series dedicated to identifying promising innovations for underwriters and actuaries, and it promises to alert the SOA to the latest developments. During this session, our presenters will provide an insightful overview of the key findings and key takeaways from both research reports. By the end of the session, attendees will gain a deeper understanding and appreciation for the invaluable research conducted in these areas.

Description: "As digitization and automation rapidly progress in today’s life and health industry, issues with misrepresentation during the insurance application process are also becoming a growing concern for insurers around the globe. A recent survey finds that misrepresentation in application forms costs the average insurance customer an estimated 5% to 10% in higher premiums. In order to reduce this risk, insurers must find and correct areas of misrepresentation, consult post-issue sampling, review the automated underwriting processes, and monitor the quality of financial advisory firms. Learn how predictive disclosure modeling detects and reduces misrepresentation by harnessing readily available underwriting data to analyze issues, helping insurers understand various drivers for disclosure rates and areas of misrepresentation.Advantages of this modeling to various stakeholders in the life insurance journey include improved risk selection, claims experience, and reinsurance terms for insurers. For customers, it leads to increased certainty of coverage, payout of the claim, and ultimately lower premiums on average. By the end of the session, attendees will understand: The disclosure modeling process at a high level The technical details of a standard approach to disclosure modeling: data cleaning, standardization, visualization, and predictive modeling Success stories about how predictive disclosure modeling has impacted insurers"

Description: FASB published LTDI requirements in 2018. The effective date for insurers who are SEC filers to publish US GAAP financials under LDTI is January 1, 2023. The effective date for non-public insurers is January 1, 2025. LDTI requires insurers to identify a new category of benefits called market risk benefits (MRBs) in insurance products. Broadly, variable annuity (VA) and fixed indexed annuity (FIA) guaranteed minimum death, accumulation, withdrawal, and income benefits fall under MRBs. Valuing MRBs requires calculating the liability on a fair value basis. Valuing FIA MRBs on a fair value basis can be complicated as several aspects of FIAs such as option budgets and policyholder behavior are driven by company management decisions and the competitive landscape.

Description: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By the end of the session, attendees will understand some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By attending this session, you will hear about some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: Focus on the importance of achieving complete and accurate technical reviews of work products that contribute to decision making. As actuaries, we often face tight deadlines and the demand is high for our team members to provide results in a timely manner. Through investing upfront time into a quality review of our work product, with an added focus on professional excellence and ethics, overall time savings can be gained and an overall higher quality work product can be achieved, not only of the technical work being performed, but of the decision making that is influenced by the result of the work. At the conclusion of this session, you will be able to understand the value of technical reviews and the methods of preparing for and implementing technical reviews across a team.