A diverse array of ocean-related phenomena occur today and more are expected to emerge in the future as ocean risk evolves in response to the observed and accelerating warming, acidification, oxygen depletion and other man-made threats to the ocean.

This paper proposes an accelerated testing method for automated vehicles safety evaluation based on improved importance sampling (IS) techniques. Taking the typical cut-in scenario as example, the proposed method extracts the critical variables of the scenario. Then, the distributions of critical variables are statistically fitted. The genetic algorithm is used to calculate the optimal IS parameters by solving an optimization problem.

The benefits of autonomous vehicles (AVs) are widely acknowledged, but there are concerns about the extent of these benefits and AV risks and unintended consequences. In this article, we first examine AVs and different categories of the technological risks associated with them. We then explore strategies that can be adopted to address these risks, and explore emerging responses by governments for addressing AV risks.

A vanguard of insurers is adapting its business model to the realities of climate change. In many ways, insurers are still catching up both to mainstream science and to their customers, which, in response to climate change and energy volatility, are increasingly changing the way they construct buildings, transport people and goods, design products and produce energy. Customers, as well as regulators and shareholders, are eager to see insurers provide more products and services that respond to the ?greening?

The Casualty Actuarial Society (CAS), Canadian Institute of Actuaries (CIA), and the Society of Actuaries' (SOA) Joint Risk Management Section is pleased to make available a report that studies the interrelationships between the general levels of unemployment in the economy and the sale and persistency of insurance products. The report explores whether insurance products have reduced sales and persistency as the level of unemployment increased in a given economic environment.

Sponsored by the Casualty Actuarial Society (CAS), Canadian Institute of Actuaries (CIA), and the Society of Actuaries' (SOA) Joint Risk Management Section and the Joint Risk Management Research Committee, this study examines and describes parameter uncertainty.

Sponsored by the Society of Actuaries Research Expanding Boundaries Pool, this research report introduces readers to Insurance-linked securities (ILSs) emphasizing catastrophe bonds (CAT) and industry loss warranties (ILWs). The report also discusses the pricing of ILSs and issues in utilizing them as hedging tools.

The Joint Risk Management Research Committee announces the release of a new report on enterprise risk management (ERM) stakeholder engagement. Authored by Kailan Shang, this report examines current practices and identifies challenges to achieving ERM stakeholder buy-in. It also offers strategies to help overcome these challenges and improve ERM stakeholder engagement.

The Society of Actuaries announces the release of a new report that will provide a resource for the insurance industry to learn about image recognition technology. Authored by Kailan Shang, the report explores the current status of image recognition technology, models for image recognition, and various possible applications of image recognition to insurance.