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As neuroscience increasingly recognizes that understanding the brain requires observing natural human behavior, research has shifted toward more realistic and ecological environments. This evolution has created new opportunities not only in medicine and psychology, but also in sectors such as finance, insurance, and reinsurance.
Neuroscience is no longer viewed solely as a medical discipline. Multiple business sectors recognize that research in the evolving field can contribute to a deeper understanding of how individuals think, assess risk, respond under pressure, and make decisions in uncertain situations. These dimensions are highly relevant to the insurance industry, where underwriting, claims management, fraud detection, and product development increasingly rely on behavioral patterns and the interpretation of behavioral signals.
The growing interaction between neuroscience, behavioral science, and artificial intelligence (AI) is gradually transforming how insurers evaluate risk, communicate with clients, and design products that may better reflect evolving customer behavior.
For the insurance and reinsurance industry, this evolution may lead to several important practical developments: more targeted and behaviorally informed questionnaires, improved question design to obtain clearer and more accurate responses, and more precise policy wording – particularly regarding exclusions – in order to reduce ambiguity and potential misinterpretation. Another important consideration is how the influence of neuroscience, behavioral science, and AI will shape the industry’s focus on the most relevant risk factors while maintaining appropriate underwriting decisions.
This article aims to provide readers with an overview of the evolving neuroscience landscape and to highlight some of the emerging practices seen today.
Neuroscience is the scientific study of the brain and nervous system. It examines how the brain:
In simple terms, neuroscience attempts to answer one essential question:
“How does the brain create who we are and how we behave?”
Neuroscience is an interdisciplinary field that combines:
As neuroscience evolves, its applications are extending far beyond healthcare into industries where understanding human cognition and behavior becomes essential, including the insurance and reinsurance industry.
Neuroscience has experienced remarkable changes between 2024 and 2026, particularly through the integration of neurotechnology and artificial intelligence.
One of the most important experiments is the development of Brain-Computer Interfaces (BCIs). Companies such as Neuralink1 are testing implants that allow individuals to interact with computers directly through brain activity. Reportedly, some recent experiments have shown following outcomes:
As the studies describe, BCIs are moving from experimental research toward practical clinical applications.
A distinction should nevertheless be made between patients who genuinely require these systems because of severe neurological disease or paralysis, and the more futuristic vision of brain–computer interfaces as a tool for the general population. At present, these technologies remain relatively rare in practice and require further study and clinical experience before broader implementation can be considered.
Artificial intelligence and neuroscience increasingly influence and inform one another. Modern AI systems are loosely inspired by the way neurons function in the human brain. Artificial neural networks imitate certain learning mechanisms observed in biological systems. In turn, AI is increasingly used as a research tool in neuroscience, helping scientists decode brain signals into speech or text, reconstruct images perceived by the brain, and analyze neural activity with greater precision.
While neuroscience can deepen our understanding of the biological mechanisms underlying human decision-making, many of the behavioral patterns most relevant to insurers – such as loss aversion, optimism bias, and disclosure behavior – have long been established through behavioral science. As a result, the primary practical value for insurers currently lies in applying insights from behavioral science, while neuroscience may contribute to future research and a broader understanding of human behavior.
Some scientists suggest that this interaction could potentially have important implications for patients with paralysis or speech impairment.
Researchers such as Professor Surya Ganguli explain that although AI systems have become extremely powerful, they still differ fundamentally from human intelligence.3 AI can achieve remarkable results while simultaneously making mistakes that humans would never make. AI still struggles with reasoning, long-range planning, and genuine human understanding; more importantly, it is not capable of emotional intelligence.
Remembering such limitations and distinctions remains important as industries increasingly integrate AI to support operational decision-making processes.
Beyond its interaction with AI, neuroscience continues to advance in a number of other areas, including:
These developments illustrate the breadth and potential impact of modern neuroscience across medicine, research, and other fields.
Although direct applications of neuroscience in insurance remain relatively limited, behavioral science – which combines psychology, economics, cognitive science, and neuroscience – has become increasingly influential in the finance and insurance industries over the last two decades.
Over the past 15 to 20 years, the field has shifted from traditional economic models toward behavioral science models that better reflect actual human behavior under uncertainty.
This shift is important because financial decisions are rarely purely rational. Customers are influenced by emotions, stress, cognitive biases, memory limitations, and subjective perceptions of risk as well as their own individual experiences. Underwriters should consider these factors alongside traditional underwriting models and company guidelines.
Recognizing these influences allows insurers to better understand customer behavior during underwriting, policy purchases, claim declarations, and fraud investigations.
More recently, advances in neuroscience have begun to influence the insurance industry indirectly as we incorporate knowledge gains from behavioral science and cognitive research. Adopting this approach helps insurers understand:
The result of incorporating a behavior and cognitive science approach is that insurers can improve risk assessment, enhance customer communication, strengthen fraud detection capabilities, and increase operational efficiency.
In the past, insurance products were developed primarily through actuarial statistics and financial modeling. However, modern insurers increasingly recognize that an understanding of customer behavior and emotional perception should also be part of the product development process.
At the intersection of insurance products and practice is where consumer behavior, behavioral science, and cognitive neuroscience begin to play a role. For some professionals, these influences operate consciously, as experience enables them to recognize patterns and make deliberate choices. For others, the process remains largely unconscious, relying on professional expertise combined with established routines for identifying patterns and taking consistent, methodical decisions.
How established, routinized professional practices influence action and reaction warrants reflection. When we recognize certain patterns, are we fully conscious of the decisions we make and the direction in which those decisions lead us? More importantly, are we making decisions carefully enough to avoid misrepresentation or contentious claims that could later lead to disputes?7
Behavioral neuroscience may help insurers answer some questions such as:
One of the most important areas to consider is policy clarity. A significant number of disputes in claims management arise from unclear exclusions, unresolved questions, overly technical policy language, or misunderstandings that occur during the underwriting process.
Another key aspect often overlooked is the importance of understanding local cultural customs and beliefs, an understanding essential for recognizing and contextualizing certain behavioral patterns.
Behavioral and cognitive research demonstrates that individuals often struggle to process complex information, especially when under stress or when there is uncertainty. Consequently, neuroscience-inspired approaches encourage insurers to:
Such improvements could significantly reduce reputational risk for insurers willing to invest more heavily in customer communication and clarity.
Another important area of investment for underwriting teams is education. Teaching product development through behavioral science and neuroscience can provide substantial value. Training programs for product developers should include:
Emotional responses to uncertainty are another aspect that should be included in training sessions and discussions when developing questionnaires, products, or guidelines. Individuals often react emotionally when faced with uncertainty, which can influence how they perceive and report risk-related information.
In underwriting, emotional discomfort can influence how applicants respond, often leading to avoidance, overly simplified answers, or incomplete disclosure of information. By carefully designing declarations and questionnaires, insurers can reduce the perceived pressure experienced by applicants and encourage more balanced, thoughtful responses. Using a clear structure and neutral wording is particularly important, as it helps to minimize emotional bias and supports more objective decision-making.
A behavioral neuroscience-based approach improves clarity, reduces response bias, and leads to more reliable disclosures from the insured person. Ultimately, understanding these behavioral dynamics enables insurers to develop products that are clearer, more customer-centered, easier to understand, and better aligned with real human behavior.
Ultimately, this may help insurers focus on handling valid claims rather than contentious disputes, thereby improving customer trust and long-term relationships.
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Application in Underwriting |
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Loss Aversion –
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Optimism Bias –
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Risk Underestimation –
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Underwriting and claims management are among the insurance functions most directly influenced by behavioral science and neuroscience-inspired analysis. As mentioned, applicants may unintentionally omit information due to memory bias; underestimate associated risks or deliberately conceal information as a result of financial pressure.
A related concern frequently observed in insurance litigation is that unclear clauses and ambiguous questionnaires often contribute to disputes during claims assessment.
Contrary to common misconceptions, insurers do not use brain scans such as functional MRI technology in operational fraud detection. Such methods remain impractical and scientifically unreliable for everyday workflows.8
In practice, claims managers increasingly analyze:
These indicators may suggest:
There is currently no practical integration of organoid technologies into underwriting processes, and no validated population-level risk models are available, therefore there is no immediate impact on underwriting guidelines or pricing models.
Earlier diagnosis of neurodegenerative diseases potentially through organoid-based biomarkers may enable earlier detection of conditions such as Alzheimer’s disease.
This could result in more precise risk differentiation, and reduced reliance on broad or standardized ratings. Organoids may help predict which patients are likely to respond to specific therapies, for instance drug-response prediction. This could have important underwriting implications, as prognosis may become increasingly dependent on therapy response. As a result, risk assessment may become more dynamic, and traditional standardized underwriting approaches may become less appropriate.
This is where the topic becomes particularly interesting, although still highly uncertain because instead of population-based risk assumptions, the industry could move toward individualized disease progression models.
Patient-derived organoid models in Parkinson’s disease can reproduce individual disease-specific cellular phenotypes. Although these models are not yet validated for predicting clinical disease progression or functional outcomes, such as occupational disability, they hold promise for future applications in personalized prognosis and risk management as the technology and clinical correlation studies evolve.9
As a result, what we may see in the future of the insurance field is a shift toward prevention and pre-symptomatic risk detection. Diseases could potentially be identified long before clinical symptoms appear. Possible implications of such advanced knowledge include much longer periods of known disease status and growing numbers of asymptomatic applicants with documented elevated risk profiles.
This could fundamentally challenge existing concepts of:
From a claims management perspective, fraud detection is also improving: research on memory, stress, and cognition has also improved claims investigation interviews. Studies suggest that genuine memories are generally consistent, although naturally imperfect. In contrast, fabricated stories may appear overly rehearsed, and deceptive narratives often become inconsistent when individuals are under pressure.
Indicators such as pauses, contradictions, changing narratives, or excessive detail can provide useful signals during investigations; however, they should never be considered proof on their own.
At the same time, neuroscience reminds insurers that stress also affects honest applicants and claimants. Individuals facing accidents, illness, or financial loss may naturally experience anxiety and memory disruption. Therefore, behavioral observations must always be interpreted carefully and ethically.10
Neuroscience is progressively influencing the finance, insurance, and reinsurance industries through behavioral science, cognitive psychology, and artificial intelligence.
Although insurers are not directly analyzing brain activity in operational workflows, neuroscience-inspired methods already contribute to:
As technology continues to evolve, collaboration between neuroscience, behavioral science, and AI is expected to become increasingly important in shaping the future of insurance and reinsurance.
All endnotes last accessed on 15 June 2026.
Manelle Sakhri-Schischkoff
Senior Underwriter MENA
