Description: Feature article discussing ethical issue that may arise in an automated decision-making model.

Description: FASB has provided broad guidance for application of long-duration targeted improvements (LDTI) in Actuarial Standards Update 2018-12 for U.S GAAP financial reporting. However, the broad guidance provided leads to several interpretations and technology, data and system implementation challenges. During this session, the presenters will focus on sharing the technology, system and data challenges and insights gathered from their FASB LDTI implementation journey, including lessons learned from collaboration with other discipline areas and stakeholders such as finance, investment and IT. The presenters will also discuss methods to overcome challenges and go beyond compliance.

Description: Discusses an SOA study entitled Blue Ocean Strategies. The objective was to deliver insight into how the use of technology may impact the design, marketing, sales, underwriting and/or processing of insurance.

Description: In this article, Microsoft describes how it is meeting the insurance industry's need for increasingly powerful software tools.

Description: This article is about how to start a career in the technology field.

Description: In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field. The recent studies and successes from the industry will also be discussed. We intend to bring more actuaries onboard about those technologies and start to think about how to bring them into our daily work.

Description: The heathcare academic literature seems to be saturated with articles on technology. This paper presents summaries of several articles that are intended to be representative, covering a wide range of topics relating to the impact of technology on the healthcare system.

Description: The Potential Impact of Pandemic Influenza on the U.S. Life Insurance Industry pandemic model tool. This tool is used to project a Life Insurance companies potential losses from an influenza pandemic. Please see the SOA website for complete instructions on how to use this excel spreadsheet tool. Also see the website for the complete research report: www.soa.org/research/research-projects/life-insurance/research-impact-pan-influ-life-ins.aspx. The core of the paper is quantifying the potential impact of selected pandemic scenarios on the Life Insurance industry.

Description: This is the first of two articles discussing technologies used to control data. this article covers data management strategies.

Description: Model Risk Management at insurers has been an established practice for well over ten years now. Until recently, a primary focus of model governance was on actuarial models. The Gen AI evolution we’ve experienced in the last two years, has shone a spotlight on “all things AI”. Along with the increased capabilities AI brings, there is increased concern for the proper use of these models, protection of IP, safeguarding of PII, and overall security. This session will bring together a diverse panel to discuss how we can adapt our established practices for these new models to minimize the risks that come with Gen AI and help our organizations optimize the benefits of AI.