The field of no-fault insurance claims in New York is undergoing a significant transformation, particularly for those involved in the gig economy like Instacart Shoppers in New York. A recent advisory from the New York State Department of Financial Services (DFS) has clarified the increasing role of artificial intelligence (AI) in no-fault claim review, impacting how claims are processed and potentially paid. This development signals a shift in how insurers approach the initial stages of a claim, raising critical questions about fairness and transparency for accident victims.
Key Takeaways
- The New York State Department of Financial Services (DFS) issued an advisory in late 2025 detailing insurer responsibilities when using AI in no-fault claim reviews.
- Insurers must provide clear explanations to claimants when AI-driven denials occur, outlining the specific factors and data points that led to the adverse decision.
- Claimants, including Instacart Shoppers, have the right to appeal AI-generated denials and request human review of their no-fault claims.
- Lawyers representing injured individuals must now understand the technical aspects of AI systems used by insurers to effectively challenge denials.
- The advisory emphasizes that AI tools cannot be used to circumvent statutory deadlines for claim processing or to unfairly delay payments.
DFS Advisory Mandates Transparency in AI-Driven Claim Decisions
In a key move, the New York State Department of Financial Services (DFS) issued an advisory in late 2025, specifically addressing the use of artificial intelligence in no-fault claim review processes by insurance carriers. This advisory, DFS Ref. No. 2025-08, marks a direct response to the growing adoption of AI and machine learning algorithms by insurers to analyze medical records, accident reports, and other claim-related data. The core of this directive is transparency and accountability. Insurers can no longer hide behind proprietary algorithms when denying claims.
The advisory stipulates that insurers employing AI tools must be prepared to articulate the precise reasons for any adverse claim decision. This means if an AI system flags a medical treatment as “not medically necessary” or a bill as “excessive,” the insurer cannot simply state it was an AI determination. They must explain which specific data points the AI used, what thresholds were applied, and how those factors led to the denial. For an Instacart Shopper injured in a car accident in New York City, for instance, this newfound transparency is important. Imagine a scenario where an AI system denies coverage for physical therapy after a collision on the Long Island Expressway. Under the new advisory, the insurer would need to explain if the AI determined the therapy duration exceeded typical recovery times for that injury, or if specific diagnostic codes were missing.
My firm has already begun advising clients on how to use this advisory. We believe it strengthens the claimant’s position significantly, forcing insurers to move beyond vague denials. We’ve seen firsthand how frustrating it can be for injured individuals to receive a denial with little to no explanation. This advisory is a necessary step towards a more equitable claims process.
Who is Affected: Instacart Shoppers and All No-Fault Claimants
The DFS advisory has broad implications, extending to all individuals filing no-fault claims in New York State. This includes, critically, gig economy workers such as Instacart Shoppers in New York. These individuals, often classified as independent contractors, rely heavily on their no-fault insurance coverage for medical expenses and lost wages following a work-related vehicular accident, as their primary personal auto policies might not cover commercial activities.
Consider an Instacart Shopper making a delivery in the Bronx who is involved in a collision at the intersection of Grand Concourse and Fordham Road. Their subsequent no-fault claim for medical treatment and lost earnings will now fall under the purview of this advisory. If their insurer, say GEICO, utilizes an AI system to review their claim, any denial must adhere to the new transparency requirements. This is particularly important because gig workers often face unique challenges in documenting lost wages and proving the medical necessity of certain treatments, given their non-traditional employment structure.
The advisory aims to prevent situations where an AI system might unfairly flag a claim due to a lack of traditional employment documentation or an unconventional treatment plan. Insurers are now compelled to consider the individual circumstances of each claimant, rather than relying solely on generalized AI outputs. This is a significant win for fairness, especially for those who might not fit neatly into conventional insurance models.
“Supreme Court justices are not (yet) using artificial intelligence in their work, apparently due to security concerns, but, in recent months, they’ve shown a growing interest in talking – and joking – about the rise of AI.”
Challenging AI-Driven Denials: Your Rights and Next Steps
The DFS advisory explicitly outlines the rights of claimants to challenge AI-driven denials and mandates a human review process. This is perhaps the most critical aspect of the new guidelines. If your no-fault claim, or a specific part of it, is denied based on an AI assessment, you have the right to:
- Receive a Detailed Explanation: The insurer must provide a clear, specific, and understandable explanation of the AI’s reasoning, including the data used and the factors considered. This explanation cannot be generic. It must be tailored to your specific claim.
- Request a Human Review: You can demand that your claim be reviewed by a human adjuster or medical professional, regardless of the AI’s initial determination. This human review must be conducted by an individual with appropriate expertise who can override the AI’s decision if warranted.
- Appeal the Decision: Standard appeal processes remain in place. If the human review still results in a denial, you can pursue further appeals, including arbitration through the American Arbitration Association (AAA) or litigation.
For an Instacart Shopper in New York who has suffered injuries and is working through the complexities of lost income, understanding these rights is paramount. Let’s say an AI system, after reviewing medical bills for chiropractic care, deems a portion of the treatment excessive. The shopper can then request a human review, where a medical professional at the insurance company must personally evaluate the treatment plan against the shopper’s specific injuries and progress. If this human reviewer still upholds the AI’s denial, the shopper can then escalate the matter.
It’s important to document every communication with the insurer. Keep records of denial letters, requests for explanation, and responses regarding human review. This careful record-keeping will be invaluable if further legal action becomes necessary. I cannot stress enough the importance of maintaining a complete file of all correspondence and medical documentation.
The Role of Legal Counsel in Working through AI Claims
With the integration of AI into no-fault claim review, the role of experienced legal counsel has never been more vital. Lawyers representing injured individuals must now develop a deeper understanding of the technical underpinnings of these AI systems. This isn’t merely about legal precedent anymore. It’s also about understanding data analytics and algorithmic decision-making.
When an insurer issues an AI-driven denial, a skilled attorney will not just challenge the legal basis but also scrutinize the AI’s methodology. This might involve:
- Demanding detailed AI explanations: We will insist on the full, granular explanation of the AI’s decision, as mandated by the DFS advisory. Vague statements are unacceptable.
- Identifying potential biases: AI systems, while seemingly objective, can inherit biases from the data they are trained on. If a system disproportionately denies claims from certain demographics or for specific types of injuries common among gig workers, this could be grounds for a challenge.
- Requesting algorithm documentation: While proprietary, insurers may be compelled to provide some level of documentation regarding the AI’s operational parameters and decision-making logic, especially in a legal dispute.
- Consulting with experts: In complex cases, it may become necessary to engage data scientists or AI ethicists to analyze the insurer’s AI system and its output.
For example, if an Instacart Shopper sustains a soft tissue injury in a collision on the Belt Parkway in Brooklyn, and an AI system denies treatment based on a statistical comparison to “average” recovery times, a lawyer might argue that the AI fails to account for individual patient variations, pre-existing conditions, or the specific demands of the shopper’s job, which often involves lifting and repetitive movements. We have already begun to see situations where AI models, trained on generalized population data, struggle to accurately assess the unique circumstances of gig economy workers. This is a battle for individual fairness against automated processes.
Preventing Delays and Ensuring Timely Payments
A significant concern with the rise of AI in claims processing has been the potential for increased delays. The DFS advisory directly addresses this, reiterating that AI tools cannot be used to circumvent statutory deadlines for claim processing or to unfairly delay payments. New York’s no-fault law, specifically Article 51 of the Insurance Law, mandates prompt payment of benefits.
Under New York Insurance Law Section 5106(a), an insurer must pay basic economic loss benefits within 30 days after receiving proof of claim. If a claim is denied, the insurer must provide a written explanation within this timeframe. The DFS advisory makes it clear that using AI does not provide insurers with an excuse to miss these deadlines. If an AI system requires more time to process a claim, that burden falls on the insurer, not the injured party. Any delay beyond the statutory period without a valid reason could result in interest penalties for the insurer.
This is a critical protection for Instacart Shoppers in New York who often rely on these payments to cover immediate medical bills and replace lost income. A delay of weeks or months can have devastating financial consequences. If an insurer attempts to use AI as a justification for a delayed denial, it signals a potential violation of the regulations, and it is a point we would immediately challenge. We advise clients to carefully record the dates they submit documentation and the dates they receive responses from their insurance carrier. This timeline is often instrumental in proving undue delay.
The DFS advisory is a strong signal that while technology can assist in claims processing, it cannot replace the fundamental obligations insurers have to their policyholders. The human element of empathy and individual consideration must remain central to the no-fault system. My professional opinion is that while AI offers efficiencies, it introduces new avenues for disputes, necessitating a proactive and informed approach from both claimants and their legal representatives.
The integration of AI into no-fault claim review represents a significant shift, demanding vigilance from claimants and sophisticated advocacy from their legal representatives. Understanding your rights, demanding transparency, and being prepared to challenge automated decisions are now more important than ever for anyone filing a no-fault claim in New York, especially those in the dynamic gig economy like Instacart Shoppers.
What is the New York DFS advisory regarding AI in no-fault claims?
The New York State Department of Financial Services (DFS) issued an advisory in late 2025, DFS Ref. No. 2025-08, which mandates that insurers using AI for no-fault claim review must provide detailed explanations for any AI-driven denials and ensure claimants have the right to a human review and appeal.
How does this advisory affect Instacart Shoppers in New York?
Instacart Shoppers, like all other no-fault claimants in New York, are directly affected. If an Instacart Shopper is injured in a car accident and their no-fault claim is processed using AI, any denial must come with a clear explanation of the AI’s reasoning, and the shopper has the right to request a human review of their claim.
Can an AI system deny my no-fault claim without any human oversight?
No, the DFS advisory explicitly states that claimants have the right to request a human review of any AI-driven denial. While AI can assist in the initial review, a human professional must in the end be available to assess the claim and potentially overturn an AI’s decision.
What specific information must an insurer provide if my claim is denied by AI?
Insurers must provide a specific, clear, and understandable explanation of the AI’s reasoning, including the exact data points, factors, and thresholds that led to the denial. They cannot simply state that the denial was “due to AI.”
Does the use of AI allow insurers to take longer to process my no-fault claim?
No. The DFS advisory clarifies that the use of AI does not exempt insurers from adhering to New York’s statutory deadlines for processing and paying no-fault claims, which generally require payment or denial within 30 days of receiving proof of claim, as per New York Insurance Law Section 5106(a).
