Description: Regular update provided by the Chair of the Joint Risk Management Section on initiatives put forth by the section council for the current year.

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.

Description: Article about Prompt Engineering Tips.

Description: We explore four plausible scenarios for how AI might reshape the future, focusing on employment as the main driver. At one extreme, AI boosts productivity, sparks entrepreneurship, and leads to near-full employment through human-AI collaboration and reformed education. At the other end of the spectrum AI-induced mass layoffs trigger an economic spiral, with soaring unemployment, creative stagnation, and societal resentment. The middle path presents a fragmented transition with a two-tier workforce, periodic recessions, and variable adaptation success. Lastly AI fizzles due to poor returns and rising costs, causing economic stagnation and investor losses without widespread disruption. Each scenario also includes potential impacts on the insurance industry, ranging from innovation and growth to regulatory strain and investment losses in the others. Proactive scenario planning, by preparing for multiple futures by identifying early warning signals, adapting plans, and strengthening institutional resilience is encouraged. The article closes with four additional speculative scenarios, including government-controlled AI, AI dominance, militarized AI, and mass surveillance. Ultimately, the piece argues that while AI’s future is uncertain, the choices made today will shape whether it becomes a partner, a threat, or a disappointment.

Description: This newsletter provides a regulation outlook for the use of AI/ML in insurance industry, interpretations of regulatory expectations and what insurers should consider when managing risks associated with the development, implementation and use of AI/ML models/tools.

Description: There is enormous interest by investors and business leaders in the potential for artificial intelligence technologies, often powered by predictive modeling and machine learning, to transform the way that companies do business.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: The article urges actuaries to see AI not just as a tool but as a strategic partner, drawing parallels to past transformative technologies like the printing press. Using NAIC survey data, it shows AI adoption is surging in health and auto insurance, lagging in life. It outlines AI’s potential to boost productivity, improve data quality, and enhance contract analysis, while warning actuaries to master AI before others use it to evaluate their work. Ethical standards demand transparency and fairness, making responsible AI use part of professional duty. Historical examples—like James C.H. Anderson’s 1970s cash flow testing breakthroughs—highlight how visionary actuaries can redefine the profession. The article applies Harvard professor Jeff Bussgang’s “hair-on-fire” innovation lens, suggesting AI-powered, urgency-driven insurance products, akin to Y2K coverage, could revolutionize offerings. It calls on actuaries to address protection gaps, discrimination, and industry opacity through AI-enabled fairness. The message: courage, creativity, and proactive adoption will let actuaries shape—not just survive—the AI-driven future. The closing reflects on the author’s tenure with the SOA Reinsurance Newsletter, framing this as a final, forward-looking call to action for actuaries ready to lead in a transformed insurance landscape.

Description: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?