Description: Virtual - Session 4B: Chief Actuary Effectiveness

Description: Come check out a diverse panel of health actuaries available to help guide you around the track for any question you may have. 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: In this session, industry leaders in both actuarial work and organization design/change management will focus on how the past three years have accelerated, changed, or slowed trends in the nature of actuarial work, particularly for larger-scale projects with a technology or development life-cycle component.

Description: Are your meetings notorious for running too long and achieving too little? In this presentation, we will unlock the secrets to running effective meetings together. Explore strategies to engage participants, keep discussions on track, and put an end to wasted time. Discover how to turn post-meeting frustrations into actionable outcomes. Join us and transform your meetings into dynamic, goal-driven sessions that leave everyone inspired and energized.

Description: Virtual - Session 4D: Actuaries Transforming Healthcare - Improving Childbirth Outcomes and Population Health

Description: At this engaging professionalism webcast, be prepared to reflect on the values of the actuarial profession and in particular the actuarial standards of practice related to long-term care.

Description: In this 90-minute webinar, presenters will address 10 career myths (or things people tell you that are not true), and how these relate to actuarial work.

Description: This session will discuss essential theories and practical applications of deep learning for actuaries. Participants will gain insights on leveraging these cutting-edge techniques to enhance actuarial models and drive predictive accuracy.

Description: Learn about prevalence-induced concept change and other cognitive biases. And find out how such biases can be linked to common actuarial practices (e.g., the application of the bias to stringency of enterprise risk management frameworks, in the case of prevalence-induced concept change). You should leave the session with the ability to understand how these biases could affect your work.

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.