Description: This webinar will discuss and illustrate professionalism standards in an interactive case study format. The session will begin with a lightning round discussion with audience polling on professionalism topics and standards of investment practice. Participants will then work through several case studies in an investment context, each of which will have its own specific professionalism considerations. Audience polling and discussion will be included as part of each case study.

Description: In this session, we will explore the opportunities and challenges of leveraging AI tools to support valuation actuaries in their work. We will begin by introducing the concept of large language models (LLMs), discussing their capabilities, limitations, and potential errors. We will then delve into case studies that demonstrate how LLMs can be effectively utilized to reference actuarial documents. The session will also address key considerations when developing AI tools to mitigate errors, enhance safety and security, and improve overall efficiency. The case studies will cover fine-tuning and information retrieval techniques such as retrieval augmented generation (RAG). Our goal is to provide attendees with a foundational understanding of the nature of LLMs and offer practical insights and ideas for actuaries to build their own processes and tools that ensure accountability, safety, and efficiency.

Description: Learn through examples how actuaries working in traditional and nontraditional actuarial roles should apply ASOPs when navigating through situational challenges when collaborating with other professionals. Examples of these professionals include regulators, accounting, management, marketing, underwriting as well as when providing advisory services to external clients.

Description: Join us for this webcast that focuses on case studies covering the ethical challenges and dilemmas that pension actuaries are currently facing. Participate in an interactive opportunity for audience members, as interaction is highly encouraged.

Description: With actuarial tools and practices rapidly emerging through artificial intelligence, it’s key to keep an eye on professionalism in actuarial work and in consideration of regulations, Standards of Practice, and the SOA Code of Conduct. This session will discuss a variety of emerging topics, highlight growing AI regulations, and have you interacting with other attendees to share your perspectives on maintaining a professional approach to using AI. Come join us for this upbeat conversation about the future of the actuarial profession increasingly working responsibly with evolving AI tools.

Description: This webcast will provide an overview of the types of ethical issues that pension actuaries may face throughout their careers and dive into specific examples of how to navigate and potential responses to such issues.

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: Join a panel of experienced Health Actuaries as they discuss the significance of actuaries' contributions to making U.S. health care better and how actuaries might enhance their contributions to fixing problems.

Description: Leadership is not confined to managerial roles. It can be manifested and nurtured even as an individual contributor. In this session, we will delve into the concept of Growth from three distinct yet interconnected perspectives.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.