Description: Session 10C: Redesigning the U.S. Health Care System - You Vote

Description: Virtual - Session 3C: Clear as Mud - The Impact of Price Transparency

Description: Session 10G: Elevating Actuarial Impact – Communication Techniques to Consider

Description: Virtual - Session 2A: Building and Using an AI Simulation Model

Description: Choosing the Right Story, for the Right Moment, for the Right Impact

Description: Virtual - Session 6B: LTC Industry Update

Description: Join us for an Economic Outlook Panel that will explore topics like "what are markets saying about likelihood and severity or a recession?" and "how is inflation impacting investment decisions?" Our investment experts speaking at this panel have backgrounds in asset management, insurance and pensions and plan to speak on current macroeconomic trends and their impact on the market. Audience members will have the opportunity to participate and ask question during this live webcast. Prepare for a lively conversation with a panel focused on impacts of our economic environment.

Description: Discover the "101” basics of project management including developing project plans, monitoring progress relative to timelines, facilitating meetings, communicating with the project team and stakeholders, and effective tools to support project management. There will be a focus on the type of technical work actuaries are often asked to manage, such as actuarial modeling projects.

Description: Artificial intelligence brings immense opportunities for productivity gains—and valid concerns. It can both support innovations in insurance products and in the customer experience as well as enhance our profession’s work. Actuaries share a responsibility for caution and professional judgment to use it without jeopardizing the fair and equitable treatment of individual consumers and the principals we serve.AI creates significant challenges for consumers: opacity, reliable accuracy, privacy, and verification of personal data. The Academy and its members have been working to educate and inform stakeholders, insurance commissioners, and regulators toward improving the transparency of algorithms that underlie the use of AI by insurers, to explain how the algorithms can be used to achieve equitable treatment, and to identify the issues and trade-offs related to ensuring consumer protections. We must amplify the actuarial perspective on how adequate disclosures, documentation, and governance of AI can help protect users. This session will examine how we can govern and support the evolution of better practices. We will discuss how AI is addressed via standards such as ASOP No. 56, Modeling, and other guardrails that are being developed to best utilize AI’s real-world potential and fulfill our professional responsibilities.

Description: At the conclusion of the session, attendees will be able to understand the potential for using global population health mortality and morbidity data in actuarial contexts. Using the Global Burden of Disease project as a resource, this session will discuss how novel population health research can be used to complement and fill in the gaps of existing input data sources for actuarial analysis and modeling. Presenters will share the latest academic research on the topics of demography, life expectancy, health-adjusted life expectancy, causes of death and disability, comprehensive disease incidence and prevalence metric, measures of disease burden for patients and populations, modifiable risk factors where there are opportunities to make interventions and improve health outcomes, and disparities between and within populations. This research is globally comprehensive and comparable between different markets and disease areas. The session will cover the motivation and purpose of GBD, a brief description of the models used, and dive deep on some selected use cases in actuarial contexts. Audiences will leave with: 1. Understanding challenges and opportunities in measuring disease burden comprehensively and consistently 2. Understanding relevant health metrics, including the drivers of future mortality and morbidity 3. Ideas for applications of epidemiological research in your work