Predictive Models – Again
Indirect use of discrimination factors that are outlawed is inexcusable and needs to be avoided by due diligence by insurer and indeed the firm supplying the data. Any decent carrier would not want to cross those red lines anyway – and that is even if the data company involved is not itself subject to regulatory oversight and/or consumer protection laws. Moral: act with integrity and choose your business partners carefully.
Fitness and Health Apps may be Sharing the Most Private Details about your Life
There’s not enough oversight for apps that track everything from people’s fitness routines to their menstrual cycles, bioethicists say.
Why the Life-Insurance Industry Wants to Creep on Your Instagram
Insurers are using customers’ social-media posts to determine premiums, inviting the potential for our digital lives to become disingenuous performances.
Predictive Modeling – a View from New York
On 19 January 2019, the New York State Department for Financial Services (DFS) issued a circular letter concerning the use of external consumer data and information sources for life insurance underwriting. This followed a prior notice sent to insurers that the Department was investigating the use of such data for potentially unfair or discriminatory practices.
Why the Future of Life Insurance May Depend on your Online Presence
As the use of algorithms and public data to inform insurance premiums becomes more common, we’ll need to decide what is and isn’t okay
Very Risky Business: The Pros and Cons of Insurance Companies Embracing Artificial Intelligence
It’s a new day not very far in the future. You wake up; your wristwatch has recorded how long you’ve slept, and monitored your heartbeat and breathing. You drive to work; car sensors track your speed and braking. You pick up some breakfast on your way, paying electronically; the transaction and the calorie content of your meal are recorded.
Trends Point to an Accelerated Future for Risk Selection
This final article explores the future of accelerated underwriting in the context of a broader consideration of the future of risk selection in general. It follows some of today’s prominent trends – personalized products, underwriting engagement, and heightened risks and regulations – to their potential long-term outcomes, and concludes with basic steps insurers can take today to help lead the industry of tomorrow.
Why Life Insurance Companies want your Fitbit Data
Customers can withhold their fitness data, but that will result in higher premiums, which may put life insurance out of reach for low-income earners. This in turn could have an impact on whether would-be homeowners can take out mortgages, some of which can require a life insurance policy on the principle borrower.
LOMA Resource: Global Update - Pressures and Possibilities
What effect will changing—and challenging—economies, politics, and regulations have on life insurance companies worldwide?
Players, Principles and Paradigm Busters (LOMA Resource)
Insurance is a complex business comprised of lots of moving pieces. Here’s a peek at who wants in the game, what the rules are, who wants to change them—and more.