Description: This session will include examples of healthcare claims and market data to be used for educational purposes to highlight trends in the insurance industry. It will also highlight opportunities to enforce existing laws around fraud and abuse, and areas for regulators and legislators to focus to address this growing problem. Finally, it will discuss recent law changes and highlight areas requiring additional regulatory intervention. Expect discussions of recent claim issues and laws in the healthcare market as well as emerging issues in healthcare. The presentation will be beneficial to healthcare professionals working for health insurers, healthcare providers, auditors, regulators and healthcare providers and will also cover professionalism related topics for actuaries.

Description: Artificial intelligence (AI) presents numerous opportunities in the insurance and financial industries. It also comes with heightened model, operational, legal and compliance, financial, and data risk. In this session, we will discuss speculation that emerging AI capabilities have sparked the fourth industrial revolution, examine what is different about this most recent round of capabilities, and examine why industry experts warn about the heightened risks the use of AI presents. We will review a framework - which includes AI ethical principles, standards, and best practices - to govern the use of AI. This will include a cross-reference of relevant Actuarial Standards of Practice as well as industry guidance like the NAIC Model Bulletin on the Use of AI Systems by Insurers. This framework will help actuaries and insurance professionals gain confidence that - if governed appropriately - we can reap the vast rewards of using AI systems in our industry.

Description: 2024 is the 50th anniversary of ERISA and enough time has passed since the enactment of Secure 2.0. The U.S. Retirement system is mostly defined contribution. Gaps remain in U.S. Retirement Security and there are very different perspectives on how the system is doing. What is going well and what is not? Have plan sponsors capitalized on the opportunities in Secure 2.0?

Description: How are regulation and innovation intertwined? How to regulate artificial intelligence/machine learning in the insurance industry? We will cover how regulators are striking the balance between protection of their constituents and supporting innovation. We will zoom into the case of predictive analytics and the regulatory attempt at avoiding undue discrimination. Let's discuss what this really mean.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

Description: A diverse panel of health actuaries will be available to answer any attendee questions. An ACA question, we have it covered! A valuation question, we will find a solution. A professionalism issue, we will make a ruling! A regulatory concern, we will help guide the way!! No question is off limits! There are no stupid questions!

Description: Explore the findings from the research paper recently released by Milliman and the SOA, highlighting the growing need for support of informal/family caregivers. We will discuss both quantitative and qualitative data that illustrates not only the cost and burgeoning need, but the mental/emotional stressors that come along with this work.

Description: In discussing the contemporary reactions to this regulation, as well as how EU-based insurance firms adapted to the shift, this segment will invite us to question our assumptions on the role of gender-based pricing in the future of the industry. In the latter half of the presentation, we will delve into the challenges faced by LGBTQ+ individuals when accessing life, health, and auto insurance.

Description: How are regulation and innovation intertwined? How do we regulate AI/ML in the insurance industry? We will cover how regulators are striking the balance between protection of their constituents and supporting innovation. We will zoom into the case of Predictive Analytics and the regulatory attempt at avoiding undue discrimination. Let's discuss what this really means.