Description: A brief overview of recent AIT research papers in summarized format.

Description: This literature review provides insights on emerging technologies that interact with the actuarial profession within the space of microinsurance for the purpose of establishing a frame of reference for actuaries to use in their work. Furthermore, it intends to spark readers’ interest in, and create a vision for, how microinsurance and its associated technologies may impact the actuarial industry in the future.

Description: This newsletter provides a regulation outlook for the use of AI/ML in insurance industry, interpretations of regulatory expectations and what insurers should consider when managing risks associated with the development, implementation and use of AI/ML models/tools.

Description: This primer paper seeks to introduce and update the actuarial profession to the topic of insurance policies and genetics and study the impacts on insurance and potential responses.

Description: "This video discusses the importance of AI model governance, cloud services and data management. It informs particularly in low-code and co-pilot systems, and the necessity of robust lifecycle management for risk mitigation. It highlights how cloud platforms like AWS, Azure, and Google Cloud are revolutionizing AI through scalable and efficient services. Additionally, the video emphasizes the critical role of effective data management and governance to ensure high-quality, compliant, and ethical AI outcomes.

Description: Attend this webcast to learn more on how to navigate managing ESG principles in the new normal of a post-COVID world. Enhance your ESG insights in a post-pandemic landscape.

Description: Electronic Health Records, or EHRs, are a major worldwide initiative to eliminate paper recordings – including Attending Physician Statements (APSs) – of an individual’s medical history and current treatment.

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.

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that validate the accuracy of sensitive information without revealing the actual information itself. This report introduces the diverse applications and emerging opportunities that ZKPs offer to the insurance community, especially in the health insurance space.

Description: This collection of essays explores the implications of AI and large language models on retirement planning, providing insights and discussions on the topic.