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Articles + Publications January 22, 2024
Locke Lord LLP
On January 17, 2024, the New York Department of Financial Services (“NYDFS”) exposed for comment a proposed circular letter regarding “Use of Artificial Intelligence Systems and External Consumer Data and Information Sources in Insurance Underwriting and Policy” (the “Proposed NY AI Guidance”). It sets forth the NYDFS’ expectations for insurers using emerging technologies. NYDFS has requested comments be submitted by March 17, 2024.[1]
The Proposed NY AI Guidance touches on many of the same principles as the NAIC Model Bulletin: Use of Algorithmic, Predictive Models, and Artificial Intelligence Systems By Insurers (the “NAIC AI Model Bulletin”) as well as the recently adopted Colorado regulation on “Guidance and Risk Management Framework Requirements For Life Insurers’ Use External Consumer Data and Information Sources, Algorithms, and Predictive Models,”[2] and the proposed Colorado regulation “Concerning Quantitative Testing of External Consumer Data And Information Sources, Algorithms, and Predictive Models Used for Life Insurance Underwriting for Unfairly Discriminatory Outcomes” (together, the “Colorado Regulations”). The Proposed NY AI Guidance would apply to “all insurers authorized to write insurance in New York State, licensed fraternal benefit societies, and the New York State Fund” and focuses on uses of “ECDIS, artificial intelligence systems and other predictive models” in the underwriting and pricing processes of insurance policies and annuities.
The Proposed NY AI Guidance explicitly states that, while the guidance is not intended to address “phases of the insurance product lifecycle other than underwriting and pricing,” it also states that the guidance is “not intended to provide an exhaustive list of potential issues that could arise from the use of ECDIS and AIS and is not intended to suggest that an insurer’s due diligence in assessing ECDIS and AIS should be limited to the concerns enumerated” in the guidance. Further, the Proposed NY AI Guidance reinforces its authority to audit and examine an insurer’s use of ECDIS and AIS under existing insurance and market conduct examination laws.
Key Definitions
The Proposed NY AI Guidance uses some familiar terms despite having different definitions. For example, like the Colorado Regulations, the Proposed NY AI Guidance uses the term External Consumer Data and Information Sources (“ECDIS”). However, the definition is not identical to Colorado’s albeit they are conceptually similar. NYDFS defines ECDIS as:
data or information used – in whole or in part – to supplement traditional medical, property or casualty underwriting or pricing, as proxy for traditional medical, property or casualty underwriting or pricing, or to establish ‘lifestyle indicators’ that may contribute to an underwriting or pricing assessment of any application for insurance coverage.[3]
Similarly, the Proposed NY AI Guidance uses the term Artificial Intelligence Systems (“AIS”) like the NAIC AI Model Bulletin, but NYDFS again uses a different definition which is similar in concept. AIS is defined by the NYDFS as:
any machine-based system designed to perform functions normally associated with human intelligence, such as reasoning, learning, and self-improvement, that is used – in whole or in part – to supplement traditional medical, property or casualty underwriting or pricing, as a proxy for traditional medical, property or casualty underwriting or pricing, or to establish ‘lifestyle indicators’ that may contribute to an underwriting or pricing assessment of an applicant for insurance coverage.
The NYDFS’ definitions appear to be simpler; however, as states continue to adopt their own guidance and regulations, insurers will have to grapple with whether the differences in definitions are intentional or different without a distinction.
AI Principles
The Proposed NY AI Guidance covers the same general principals as those covered in the NAIC AI Model Bulletin and the Colorado Regulations. Generally, the Proposed NY AI Guidance covers (1) Fairness Principles; (2) Governance and Risk Management; and (3) Transparency. Under Fairness Principles, NYDFS addresses the need to avoid unfair discrimination when using ECDIS and that it be supported by generally accepted actuarial standards.
Third-Party Vendor Oversight
Notably, the NYDFS states that insurers “may not rely solely on a vendor’s claim of non-discrimination or a proprietary third-party process to determine compliance with anti-discrimination laws.” Insurers should be aware of these issues when addressing indemnification language in third-party vendor contracts. Accordingly, insurers will need to ensure that their third-party vendor contracts provide the insurers with ample access to the third-party vendor’s tools, ECDIS or AIS to sufficiently understand what it is, what type of information is being used, how it is being used, and whether it complies with applicable laws. Additionally, insurers are responsible for third party vendor oversight including written policies and procedures, for reporting and remediating incorrect information identified by the insurer or reported to a third party. Moreover, “an insurer may not rely on the proprietary nature of a third-party vendor’s algorithmic processes to justify the lack of specificity in disclosures related to an adverse underwriting or pricing action.”
Documentation and Testing
NYDFS also addresses the insurer’s need for:
Governance and Risk Management Framework
Like the NAIC AI Model Bulletin and the Colorado Regulations, an insurer’s governance and risk management framework is an integral piece for maintaining compliance as it implements and deploys ECDIS and AIS. The Proposed NY AI Guidance:
Clarification of Prior Circular Letter No. 1 (2019)
Lastly, the Proposed NY AI Guidance discusses transparency in the form of disclosure and notice requirements; and expressly clarifies the disclosure requirements in the prior Circular Letter No. 1 (2019) “Use of external consumer data and information sources in underwriting for life insurance,” particularly in connection with accelerated underwriting for life insurance. For example, the consumer must be provided with a specific reason for refusal, limitation, or rate differential. The notice must include:
whether the insurer uses AIS in its underwriting or pricing process, (ii) whether the insurer uses data about the person obtained from external vendors, and (iii) that such person has a right to request information about the specific data that resulted in the underwriting or pricing decision, including contact information for making such request.
Additionally, the Proposed NY AI Guidance clarifies that the prior Circular Letter No. 1 (2019) requires that objective threshold criteria used in the accelerated underwriting process for life insurance must be disclosed to the consumer, and the consumer also must be informed of which objective threshold criteria was not met causing the applicant to be rejected from the accelerated process.
Currently, the Proposed NY AI Guidance is like the Proposed NAIC AI Model Bulletin in that it is only intended to provide guidance and is not expected to be an enacted law. In its current form, the Proposed NY AI Guidance is principles-based as opposed to prescriptive in nature.
Please reach out to your Locke Lord attorney for further information.
—
[1] Comments should be submitted to innovation@dfs.ny.gov. Please use “Proposed Circular on the use of AI and ECDIS in Insurance Underwriting and Pricing” in the subject line. Comments may be subject to public inspection and should not include any sensitive or confidential information.
[2] 3 CCR 702-10
[3] The ECDIS definition excludes MBI Group, Inc. member information exchange service, a motor vehicle report, or criminal history search.
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From compliance to the courtroom, we have you covered.
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Trusted advisors to leading insurers for 100+ years.
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Unlocking value in the middle market and beyond.
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Full-service legal advice from coast to coast.
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Applying radical applications of common sense
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Our standard-setting client experience program.
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Delivering life-changing help to those most in need.
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Our firm’s greatest asset is our people.
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Market-leading eDiscovery and data management services.
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The Pepper Center for Public Services
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Strategies helps businesses and individuals solve the complexities of dealing with the government at every level. Our team of specialists concentrate exclusively on government affairs, representing clients nationwide who need assistance with public policy, advocacy, and government relations strategies.
This unique program provides innovative and affordable opportunities to startups and early-stage emerging companies with a solid technology or scientific foundation. We help companies that have a quality management team in place and do not have other significant legal representation.
eMerge’s lawyers and technologists work together to deliver strategic end-to-end eDiscovery and data management solutions for litigation, investigations, due diligence, and compliance matters. We help clients discover the information necessary to resolve disputes, respond to investigations, conduct due diligence, and comply with legal requirements.
Stay ahead of the curve and in touch with our latest thinking on the issues that are top of mind across our practices and industry sectors.
Change happens fast in today’s turbulent world. Stay on top of the latest with our industry-specific channels.
Take a closer look at how we partner with clients to help them realize their goals.