Description: This report explores how artificial intelligence can be applied to investment and retirement planning, highlighting real-world applications, risks, and recommendations.

Description: Discover the latest insights on emerging risks in the Indian market with our comprehensive survey report. Uncover key findings on financial volatility, disruptive technology, and climate change, and learn how AI is reshaping risk management. Compare these results with North American trends and explore the optimistic economic outlook for the India market in 2025.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

Description: Discover the unique challenges and resilience of LGBTQ+ older adults as they navigate aging and retirement in this comprehensive review.

Description: This report examines the adoption and challenges of predictive analytics in life and annuity reinsurance, including current practices, regulatory context, and advanced AI applications.

Description: This report was developed by the CESRC as an update of one Rob Erhardt prepared in 2016 that compiled a collection of sources that deal with what scientists know and what actuaries could do. Sources have been chosen with practicing actuaries and the public in mind. In the original report, nearly all governmental sources come from the United States. In the update an attempt was made to include sources from actuarial bodies and regulators worldwide. Please let us know if you have a source we did not include as it is anticipated that the SOA will continue to update a list of sources for these topics in the future.

Description: This document is a research study conducted by Derrick FUNG Wing Hong, PhD, FSA, CERA, from The Hang Seng University of Hong Kong, sponsored by The Society of Actuaries Research Institute. It investigates the impact of COVID-19 on insurers and the relationship between Enterprise Risk Management (ERM) sophistication and insurers' resilience.

Description: This survey tracks the relative rankings of risk managers about emerging risks across time. It is the 18th survey of emerging risks sponsored by the Casualty Actuarial Society (CAS), Society of Actuaries (SOA) and Canadian Institute of Actuaries (CIA), administered by the Joint Risk Management Section.

Description: Award-winning essays on addressing unwanted bias in life and annuity insurance processes.

Description: This report is a technical paper on a Predictive Analytics Framework and Reusable Workflow for Experience Analysis in actuarial studies. It covers data analysis, machine learning models, methodologies, and model interpretation techniques.