News & Analysis as of

Insurance Regulations Underwriting

Epstein Becker & Green

Insurers in the Crosshairs: New York Targets Consumer Data and AI-Infused Insurance Underwriting and Pricing

As the implementation and integration of artificial intelligence and machine learning tools (AI) continue to affect nearly every industry, concerns over AI’s potentially discriminatory effects in the use of these tools...more

Mayer Brown

New York State Department of Financial Services Issues Proposed Artificial Intelligence Circular Letter

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On January 17, 2024, the New York State Department of Financial Services (“NYSDFS”) released a proposed circular letter addressing the use of external consumer data and information sources (“ECDIS”) and artificial...more

Patterson Belknap Webb & Tyler LLP

New York’s Department of Financial Services Seeks Comment on the Use of Artificial Intelligence in Insurance Underwriting and...

The New York State Department of Financial Services (“DFS”) has entered its voice regarding the use of artificial intelligence (“AI”) by insurers by issuing for public comment a proposed circular letter addressing the use of...more

Robinson+Cole Data Privacy + Security Insider

Colorado Prepares to Regulate AI and Big Data in Insurance

Colorado is poised to become one of the first states to regulate how insurers can use big data and AI-powered predictive models to determine risk for underwriting. The Department of Insurance recently proposed new rules that...more

Carlton Fields

Regulators Gearing Up to Monitor Accelerated Underwriting Programs

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Following completion of its 2022 educational paper, the NAIC’s Accelerated Underwriting (A) Working Group (AUWG) moved to the second part of their charge — draft guidance for the states. During their call on February 22, the...more

Hogan Lovells

Insurance regulatory news, December 2020 # 2

Hogan Lovells on

Part VII FSMA insurance business transfers: Court of Appeal decision - Several important issues were raised in relation to Part VII transfers in the recent hearing before the Court of Appeal relating to the proposed...more

Carlton Fields

Topsy-Turvy World of Accelerated Underwriting and Artificial Intelligence

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As accelerated underwriting (AU) and artificial intelligence (AI) begin to turn life underwriting upside down, several NAIC working groups are seeking to bring order to the disruption: the Big Data (EX) Working Group (“Big...more

Carlton Fields

NAIC Tills the Accelerated Underwriting Garden

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The Accelerated Underwriting (A) Working Group (AU WG) sprang into action during the first part of the year learning about the landscape of insurers' use of algorithms in underwriting and potential issues of such use, holding...more

Carlton Fields

Innovation and Technology at the NAIC 2019 Fall Meeting

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Several NAIC groups continued addressing issues related to innovation in the life insurance industry as follows...more

Carlton Fields

Innovation Whack-a-Mole

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Like a game of whack-a-mole, new or existing NAIC groups are being tasked to consider the various regulatory issues that are popping up from insurance innovation....more

Kramer Levin Naftalis & Frankel LLP

NY Regulatory Guidance on AI Illustrates Compliance Challenges

The New York Department of Financial Services’ (DFS) January 2019 insurance circular letter, which advised New York-licensed life insurance carriers on the use of external consumer data and information sources in...more

Carlton Fields

Life Insurers Sinking in Quicksand as Regulators Scrutinize Non-Traditional Consumer Data Sources

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As previously reported in our October 9, 2018, client alert, the sands began shifting in late 2018 when the NAIC Big Data Working Group (Big Data WG) began questioning life insurer’s use of big data after a LIMRA survey found...more

Carlton Fields

NAIC Big Data WG Shifts Its Gaze To The Use Of Big Data In Life Insurance Underwriting

Carlton Fields on

At recent meetings, the NAIC's Big Data (EX) Working Group (Big Data WG) has shifted its gaze to the use of big data in life insurance underwriting. Before these meetings, the Big Data WG had focused on the impact of big data...more

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