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At Pinnacle Actuarial Resources, we focus on innovation and
thought leadership with a goal to make sure our clients remain ahead of the
technological, economic and related forces shaping our profession and the
Artificial intelligence (AI) and machine learning are two of
The insurance industry has made material investments in AI
and machine learning in recent years. Although the insurance industry has
lagged behind some sectors such as banking, investment in AI has dramatically
increased and is expected to surpass $2.5 billion by 2025.
The insurance industry has taken notice. And, it’s beginning
to reckon with what it all means. A recent report from Lloyd’s, “Taking
control: artificial intelligence and insurance,” works to explain the insurance
industry’s careful adoption of new technologies. The Lloyd’s report describes
the most urgent risks facing adoption of AI and machine learning and discusses the
recent rise in skepticism about the implications of this brave, new world.
I recently published a Pinnacle white paper that
discusses the increasing use and utility of AI and machine learning in the
insurance industry. I also highlighted impediments to the adoption of those
technologies and discussed how the AI industry is responding to societal
concerns about the technology.
In my monograph, I describe AI as:
“…broadly defined as the ability of machines to solve
problems or perform complicated, sometimes human tasks–self-driving cars and
computers playing chess, for example.”
And machine learning as:
“…a subset of AI that encompasses a wide range of
sophisticated computer algorithms that rely on big data to enable machines to
find patterns, learn and predict.”
In my white paper, I discuss how the industry uses AI,
including helping to limit fraud by assembling and identify patterns of
AI and machine learning are largely useful and helpful
technologies for the insurance industry, specifically and for society as a
But the growth and spread of new technologies often carry with them far-reaching implications for the way we live our lives. And with AI and machine learning, that includes issues of privacy, security and safety. As with most things, benefits and risks need to be weighed and society needs to understand how benefits and risks must be balanced.
Please read my white paper to learn more about AI and what it means for the insurance industry.
Radost Wenman, FCAS, MAAA, CSPA, is a Consulting Actuary with Pinnacle Actuarial Resources, Inc. in the San Francisco, California office. She holds a Master of Science degree in Statistics and a Bachelor of Science degree in Mathematics from Stanford University. Radost has over 12 years of experience in the Property
and Casualty Insurance arena,
focusing on pricing and product
development. In this role,
she has developed
homeowners and private passenger
auto pricing solutions through the
design and implementation of
advanced predictive models.
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