The Geneva Association recently published a comprehensive report on the use and regulation of AI in the insurance industry. AI is a key part of the digital transformation of insurance, the report says, and its associated risks are already familiar to insurers.
A steady decline in mortality rates since the 19th century has brought about a long-term rise in life expectancy for both men and women, but progress is uneven and, as recent history tells us, uncertain.
The Colorado Division of Insurance has approved a closely watched regulation that could affect how life insurers use outside vendors’ artificial intelligence systems, and any other outside sources of data or analytical technology, in life insurance underwriting.
This white paper investigates the emergence of excess mortality and new-onset disease resulting in insurance underwriting significance beyond 30 days from the time of infection.
By pooling the life insurance industry’s resources to bring multi-cancer early detection (MCED) tests to policyholders, together we can attempt to alter the course of cancer mortality.
Life insurance companies have a reputation for being something akin to an oil tanker – big, and slow. But their approach to incorporating generative AI (GenAI) into various functions of their businesses can hardly be claimed to be thus.
The introduction of artificial intelligence (AI) into the insurance industry is transformative, heralding a new era marked by improved efficiency, accuracy and personalization. However, with this technological shift comes a significant yet often overlooked concern—AI bias.
Unfair discrimination takes place when insurers consider factors that are unrelated to actuarial risk while determining whether to provide insurance to particular individuals or groups, and if so, at what price and with what terms.
A coalition of insurance industry and healthcare leaders have formed a non-profit organization to help global insurers screen, test, and triage members to combat the baffling rise in excess mortality.