Description: Synthetic Data

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: Actuarial Standards of Practice (ASOPs) are critical to an actuary's work, but staying abreast of changes to ASOPs could be challenging. Several ASOPs have been created or updated in the last few years while ValAct was on hiatus. Are you up to date? This session will focus on ASOPs 7, 11, 28, 41 and 57. Come ready to play, as we challenge your knowledge of these ASOPs in a fun game show format. By the end of this session, attendees will learn the major provisions included in ASOPs that have been recently updated or created and understand how their work may be impacted by these recent changes.

Description: This will be an engaging and interactive session that will begin with a game show to level set basic knowledge of LDTI. Next, you will have an opportunity to ask the experts in-depth questions about anything related to LDTI. Finally, we will invite the 2023 adopters to share their experiences with the 2025 adopters. The exact content will be driven by participants but is expected to include MRB valuation approaches, LFPB reinsurance topics, DPL, DAC, and disclosure topics. At the end of the session, participants will understand different perspectives from industry experts and peers on the many facets of LDTI.

Description: This session will provide an update on regulatory changes and current hot topics in Bermuda. The speakers will update you on the most recent Bermuda regulatory reforms, including targeted enhancements to its regulatory capital framework, Own Risk and Insolvency Amendment (ORSA)/Commercial Insurer's Insolvency Self Assessment (CISSA) enhancements for climate risk assessment, and Bermuda corporate income tax changes to align with Global Minimum Tax.

Description: This session will provide an update on regulatory changes and current hot topics in Bermuda. The speakers will update you on the most recent Bermuda regulatory reforms, including targeted enhancements to its regulatory capital framework, Own Risk and Insolvency Amendment (ORSA)/Commercial Insurer's Insolvency Self Assessment (CISSA) enhancements for climate risk assessment, and Bermuda corporate income tax changes to align with Global Minimum Tax.

Description: Actuarial Standards of Practice (ASOP) #12 on Risk Classification is being revised while the Academy of Actuaries Issue Brief on Discrimination, published in August 2023, is shaping how bias and discrimination are thought through as actuaries. Individual states like Colorado and New York are suggesting approaches, and the Society of Actuaries, the Casualty Actuarial Society and other actuarial associations are providing the actuaries the tools to address practical cases.

Description: An attorney and a statistician will discuss the latest on GenAI, the AI regulation and litigation affecting the use of AI in insurance.

Description: The presentation will cover conclusions, the mathematical techniques chosen (LightGBM), the rationale for that choice, and the technical tools used to collaborate among a dispersed team. (R, GitHub, CodeSpaces)

Description: In this session, we will delve into the powerful capabilities of two essential algorithms in the field of data science and machine learning: Generalized Additive Models (GAM) and CatBoost. These algorithms can play a crucial role in conducting experience studies for insurance.