Description: This abstract describes studies that further the understanding of risk surrounding automated vehicle technology.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.

Description: The insurance industry is faced with many unforeseen changes such as recent advances in technologies and the associated impacts on the risk assessments. In this session, we focus on two specific developments; (i) the liquidity provision problem on automated market makers (a.k.a. DeFi exchanges such as Uniswap) and the conditions under which liquidity providers should enter or exit the DeFi token pools; and (ii) efficient utilization of drivers telematics data for better risk classification in personal auto insurance.

Description: The SOA Research Institute is seeking researchers to study the application of geospatial imagery, high-resolution imagery, and artificial intelligence in loss estimate analytics and underwriting within the insurance industry.

Description: The rapid advancement of technology today will revolutionize how humans interact with their vehicles in the near future. Vehicle manufacturer initiatives to incorporate new technology into their products should usher in societal benefits such as improved driving safety, enhanced fuel efficiency and potentially lower costs for insurance.

Description: Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with OEMs and more within the auto insurance industry during our latest webcast. Experience interactive dialogue that will allow another dimension of thinking as industry experts provide insights and expertise. Throughout this webcast, you can expect developments in the personal lines automotive telematics-based insurance landscape that will develop a further understanding of the present and future of this industry.

Description: This report discusses the use of federated learning in the insurance industry and explores the benefits and challenges of this approach.

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.

Description: Increasing cyber incidents and emergent characteristics of cyber threats have become significant concerns for organizations, governments, and the insurance sector. The growing cyber risks, whether catastrophic risks that an entire town, country, or even world may face due to cyber-attacks, or smaller scale cyber risks such as right where you live with smart home technology, can impact technological infrastructure, public health and safety, economic security, and even political stability. The SOA Research Institute has been conducting several research projects in the area of cyber security risks and the impact of those on insurance companies. Discover these research projects meant to inform actuaries of the ways in which risks can be incorporated into their models, product design, and risk management frameworks. Also, explore research reports that explore new technologies and the development of tools which can aid both practitioners as well as other researchers.

Description: The Society of Actuaries (SOA) Research Institute released a report summarizing the InsurTech Insights Americas conference held May 24-26, 2022. InsurTech, a concept created 10-15 years ago, is maturing and currently western financial markets are recording a downward trend while inflation is rising. While this downward pressure on financing makes investors more cautious, stakeholders are working towards partnerships to improve the overall effectiveness and purpose of the insurance industry.