1. Introduction

Cognitive Biomarker Accountability is a developing legal and ethical framework concerning responsibility for the collection, interpretation, use, storage, and disclosure of biological or neurological indicators associated with cognitive functions.

Cognitive biomarkers may include measurable indicators associated with attention, memory, stress, emotional responses, sleep, neurological activity, and cognitive impairment. They may be derived from brain imaging, electroencephalography (EEG), physiological sensors, neuropsychological assessments, or other biological measurements.

The term Cognitive Biomarker Accountability is not, by itself, a universally recognized or settled legal doctrine. Rather, it is a useful analytical concept for applying existing principles of privacy, informed consent, medical negligence, data protection, discrimination, consumer protection, and constitutional rights to emerging cognitive-monitoring technologies.

Central legal question

Who should be legally responsible when a cognitive biomarker is collected or interpreted incorrectly, disclosed without authorization, used to discriminate against an individual, or relied upon to make consequential decisions about employment, healthcare, insurance, education, or criminal justice?

The answer depends on the jurisdiction, the purpose of the technology, the nature of the data, the conduct of the parties, and the harm suffered.

2. Meaning and scope

Cognitive biomarker

An objectively measured biological or neurological feature that may correlate with a cognitive state, function, or condition. A correlation does not necessarily establish a diagnosis or prove a person's intentions, competence, honesty, or future behaviour.

Accountability

The obligation of an organization, healthcare professional, researcher, technology developer, or decision-maker to justify the collection and use of such data, demonstrate appropriate safeguards, correct errors, and provide remedies where required by law.

The framework becomes especially important when a biomarker is used to infer sensitive characteristics that cannot reliably be established from the measurement alone.

Examples include:

Inferring fatigue or attention from physiological signals.

Using neurological measurements to support a medical diagnosis.

Employing cognitive-monitoring devices in safety-sensitive workplaces.

Using inferred cognitive characteristics to determine eligibility for insurance or benefits.

Introducing brain-derived evidence in criminal proceedings.

Using cognitive measurements in educational assessment or research.

3. Principal legal principles governing cognitive biomarker accountability

A. Right to privacy and mental autonomy

The first principle is that a person should not be subjected to unjustified intrusion into their neurological or cognitive life.

A cognitive biomarker can be more revealing than an ordinary identifier because it may be used to infer health conditions, attention patterns, emotional responses, or other sensitive characteristics. However, the reliability and legal significance of such inferences must be evaluated individually.

In India, the principal constitutional foundation is Article 21 of the Constitution, read alongside other applicable fundamental rights.

The accountability framework asks whether:

The collection has a lawful basis.

The person has received meaningful information about the intended use.

The intrusion is necessary and proportionate to a legitimate objective.

The data is protected against unauthorized access and secondary use.

Effective remedies exist for misuse.

B. Informed consent

Consent is particularly important where cognitive biomarkers are collected for research, medical treatment, commercial profiling, or experimental neurotechnology.

A valid consent process should explain the purpose of collection, the reasonably foreseeable risks, the intended recipients, retention arrangements, and whether the data or derived inferences will be used for other purposes.

Consent should not automatically be treated as unlimited permission. In employment or institutional settings, a person may have little practical ability to refuse monitoring. The legal validity of consent therefore depends on the applicable law and circumstances.

C. Accuracy and scientific validity

An organization should not treat a probabilistic biomarker as conclusive proof of an individual's mental state.

For example, an algorithm might interpret a physiological signal as indicating reduced attention. The signal could instead reflect fatigue, medication effects, individual variation, sensor error, or another factor.

Accountability may require:

Validation of the measurement method.

Disclosure of material limitations.

Appropriate human review.

Correction of inaccurate records or inferences.

Documentation of the reasons for consequential decisions.

D. Non-discrimination and fair decision-making

Cognitive biomarkers should not be used to unjustifiably exclude individuals because of a disability, a medical condition, an inferred emotional state, or a supposedly undesirable cognitive profile.

An employer, insurer, school, or public authority must consider the relevant anti-discrimination, disability, employment, and constitutional rules applicable to its decision.

E. Security and confidentiality

Organizations handling these measurements should use proportionate technical and organizational safeguards, including access controls, secure storage, data minimization, retention limits, and incident-response procedures.

Accountability also extends to third-party processors and technology vendors where their conduct, contractual duties, or statutory obligations make them responsible.

4. Important case laws

The following decisions provide legal foundations for this framework. Some directly concern brain-based investigative techniques; others are analogous authorities involving privacy, consent, biometric information, and medical responsibility. None should be mischaracterized as having established a standalone doctrine called Cognitive Biomarker Accountability.

Case 1: Selvi v. State of Karnataka (2010)

Supreme Court of India · (2010) 7 SCC 263

Facts: The case concerned the involuntary administration of narcoanalysis, polygraph examinations, and Brain Electrical Activation Profile (BEAP) tests during criminal investigations.

Legal issue: Whether compelling individuals to undergo these techniques violated constitutional protections, including the right against self-incrimination under Article 20(3) and personal liberty under Article 21.

Decision: The Supreme Court held that the involuntary administration of the techniques at issue violated the relevant constitutional protections. It addressed the implications for mental privacy, personal autonomy, and the protection against compelled self-incrimination.

Relevance to cognitive biomarker accountability:

Brain-related measurements cannot be treated as legally unproblematic merely because technology can collect them.

Compelled cognitive or neurological testing raises questions about mental privacy and personal liberty.

The legal context, voluntariness, and intended use of a measurement matter.

Scientific claims about what a neurological test establishes must not replace constitutional scrutiny.

Limitation: Selvi does not prohibit every voluntary neurological examination or every clinical use of cognitive biomarkers. Its holdings concern the specific investigative techniques and constitutional circumstances before the Court.

Case 2: Justice K.S. Puttaswamy (Retd.) v. Union of India (2017)

Supreme Court of India, nine-judge bench · (2017) 10 SCC 1

Facts: The Court considered whether privacy is protected as a fundamental right under the Indian Constitution.

Decision: The nine-judge bench unanimously recognized privacy as a fundamental right, grounded in constitutional guarantees including Article 21 and the broader scheme of Part III.

Legal principles:

Informational privacy is an important dimension of privacy.

Privacy protects aspects of individual autonomy and dignity.

State intrusions into privacy require legal and constitutional justification.

The nature and extent of an intrusion matter when evaluating its permissibility.

Application: If a public authority uses cognitive biomarkers to classify individuals, monitor neurological conditions, or make consequential decisions, the constitutional questions include legality, legitimate purpose, necessity, proportionality, and safeguards.

The decision also provides an important foundation for assessing private-sector practices through applicable statutory protections and, where relevant, constitutional obligations.

Limitation: The judgment did not specifically decide whether all neural data constitutes a distinct category of fundamental right or establish a complete liability regime for private neurotechnology companies.

Case 3: K.S. Puttaswamy v. Union of India — Aadhaar judgment (2018)

Supreme Court of India · (2019) 1 SCC 1

Facts: The Court examined the constitutional validity of the Aadhaar identity system and associated biometric identification and data-handling arrangements.

Legal significance: The decision considered the relationship between identification technology, privacy, state purposes, proportionality, and safeguards.

Application to cognitive biomarkers:

The usefulness of a technology does not automatically justify every form of collection.

The purpose and scope of data processing should be legally justified.

Excessive or unrelated uses of sensitive information require scrutiny.

System design and safeguards matter when evaluating privacy risks.

Limitation: Aadhaar biometrics and neurological biomarkers are not identical. The judgment is relevant by analogy, not as a direct ruling on cognitive inference.

Case 4: Samira Kohli v. Dr. Prabha Manchanda (2008)

Supreme Court of India · (2008) 2 SCC 1

Facts: The case concerned medical consent, including a surgical procedure performed beyond the scope of the consent given for the initially contemplated procedure.

Decision: The Court explained the requirements of valid medical consent and the circumstances in which additional treatment may be justified.

Application: Where cognitive biomarkers are collected during medical treatment or research, consent for one procedure should not automatically be assumed to authorize unrelated testing, research, commercial profiling, or disclosure.

The case supports a careful distinction between:

Consent to clinical treatment.

Consent to a separate diagnostic procedure.

Consent to research participation.

Authorization for subsequent data use or disclosure.

Limitation: The decision concerns medical consent generally, not a dedicated legal regime for neurological data.

Case 5: Patel v. Facebook, Inc. (2019)

United States Court of Appeals for the Ninth Circuit · 932 F.3d 1264

Facts: Users challenged Facebook's use of facial-recognition technology to create face templates under the Illinois Biometric Information Privacy Act (BIPA).

Decision: The Ninth Circuit upheld class certification and concluded that the alleged development of face templates without the required consent could constitute a concrete privacy injury for standing purposes.

Justia Law

Relevance: Although facial geometry is not a cognitive biomarker, the case illustrates how biometric processing can invade legally protected privacy interests even without proof of conventional financial loss.

Applied by analogy, the case supports careful examination of systems that generate cognitive profiles from biological signals without satisfying applicable consent or disclosure requirements.

Limitation: The ruling interpreted US law, particularly Illinois's statute and federal standing requirements. It does not create a universal rule governing neural data.

Case 6: ACLU v. Clearview AI (2022 settlement)

Circuit Court of Cook County, Illinois · Consent order dated 11 May 2022

Facts: Civil liberties organizations challenged Clearview AI's collection and use of facial-recognition data under BIPA.

Outcome: The parties reached a settlement, and the court entered a consent order restricting specified practices involving Clearview's faceprint database. This was a settlement, not a judicial finding after trial that every allegation had been proved.

American Civil Liberties Union

Relevance: The matter illustrates possible accountability mechanisms for biometric-data misuse, including restrictions on processing, limits on commercial access, and measures enabling individuals to exercise rights over their biometric information.

For cognitive biomarkers, comparable remedies may be relevant where authorized by law, although the legal outcome would depend on the particular statutory framework.

Case 7: Dr. Kunal Saha v. Dr. Sukumar Mukherjee — medical negligence litigation

Supreme Court of India · (2014) 1 SCC 384

Facts: The litigation arose from medical treatment and the death of a patient, with allegations of negligent diagnosis and treatment.

Legal significance: The proceedings illustrate the role of professional standards, medical evidence, causation, and compensation in medical-negligence claims.

Application: If a clinician or medical institution relies negligently on an inadequately validated cognitive biomarker, the central questions would include whether the professional departed from the applicable standard of care and whether that departure caused harm.

The existence of an algorithm or laboratory report does not automatically absolve a professional from responsibility. Conversely, an incorrect result alone does not necessarily establish negligence; the applicable standard of care and evidence of causation remain important.

Limitation: This case was not about cognitive biomarkers. It is an analogous authority for the medical-negligence dimension of accountability.

5. Comparative legal framework

The relevant Indian statutes are available through the official Digital Personal Data Protection Act, 2023 and Rights of Persons with Disabilities Act, 2016.

MeitY+1

An important qualification concerns the DPDP Act: its provisions have a phased commencement schedule. As of 2 November 2026, the applicable obligations must be determined by checking the relevant commencement notification rather than assuming that every provision is already operative. The Ministry of Electronics and Information Technology publishes the 2025 Rules and implementation timeline.

MeitY+1

6. Who can be held legally accountable?

Cognitive biomarker accountability may involve several parties. Responsibility depends on the specific act or omission, the applicable law, and the evidence.

Healthcare professionals

May face professional or civil liability for negligent interpretation, inadequate consent, or improper clinical decisions, where the applicable legal requirements are met.

Hospitals and research institutions

May be accountable for institutional failures, deficient procedures, inadequate safeguards, or breaches of applicable research and healthcare requirements.

Technology developers and AI providers

May face liability for defective products, misleading claims, unlawful processing, contractual breaches, or negligent system design, depending on the applicable legal framework.

Employers, insurers and public authorities

May be accountable for using cognitive profiles unlawfully, making discriminatory decisions, exceeding their lawful authority, or failing to provide required safeguards and review.

7. Hypothetical examples and legal analysis

Example A: Incorrect cognitive assessment in employment

An employer uses an EEG-based system to infer employee attention. The software incorrectly classifies a worker as cognitively impaired, resulting in dismissal.

Potential legal issues:

Reliability and validation of the assessment.

Whether the employer relied on the result reasonably.

Disability discrimination or other unlawful discrimination.

Privacy and lawful data processing.

Procedural fairness and availability of a meaningful appeal.

Possible remedies: Depending on the applicable law, the worker might seek correction of the record, an employment-related remedy, compensation, or regulatory intervention.

An inaccurate output alone does not establish every element of a legal claim. The worker would need to establish the relevant legal basis and satisfy applicable evidentiary requirements.

Example B: Unauthorized use of neural data

A consumer wears an EEG-enabled device for a stated wellness purpose. The provider subsequently uses derived cognitive profiles for unrelated advertising without an adequate legal basis.

Potential legal issues:

Whether the information constitutes protected personal data.

Whether the secondary use was adequately disclosed and lawfully authorized.

Whether the provider complied with applicable data-protection obligations.

Whether the conduct caused compensable harm or triggered regulatory remedies.

This example highlights the difference between collecting a signal and creating a new inference from it. The legal treatment of the inference must be assessed under the applicable law rather than assumed to be identical in every jurisdiction.

Example C: Misuse in criminal investigations

Investigators attempt to compel a suspect to undergo a brain-based test to infer concealed knowledge.

Potential legal issues in India: Article 20(3), Article 21, the principles in Selvi, and the applicable rules of criminal procedure and evidence.

The fact that a technique is described as scientific does not automatically make its compelled use constitutionally permissible or its results conclusive evidence.

Example D: Negligent clinical interpretation

A doctor treats an experimental cognitive biomarker as definitive evidence of a neurological disorder and recommends inappropriate treatment without adequate clinical evaluation.

Potential legal issues:

Whether the test was clinically validated for the intended purpose.

Whether the doctor followed the applicable professional standard of care.

Whether adequate informed consent was obtained.

Whether the decision caused injury.

A negligence claim would ordinarily require proof of the relevant duty, breach, causation, and legally recognized damage, subject to the applicable jurisdiction's rules.

8. Remedies and enforcement mechanisms

Depending on the facts and jurisdiction, accountability may be enforced through:

Constitutional remedies: Judicial review or other appropriate relief against unlawful state action.

Data-protection remedies: Complaints, regulatory directions, or penalties where authorized by applicable legislation.

Civil remedies: Damages, injunctions, or other relief where a recognized cause of action exists.

Medical and professional discipline: Action by the relevant professional or licensing authority.

Employment and disability remedies: Relief against unlawful discrimination or improper employment decisions.

Criminal proceedings: Where the conduct independently satisfies the elements of an applicable criminal offence.

Not every breach creates a private right to compensation. The available remedy depends on the governing statute, the cause of action, the harm, and the competent forum.

9. A proposed accountability framework

A sound governance model for cognitive biomarkers should include the following safeguards.

These are proposed governance safeguards, not a claim that every item is an independently enforceable statutory duty in every jurisdiction.

10. Conclusion

Cognitive Biomarker Accountability addresses a fundamental legal problem: how to protect individuals when biological measurements are used to make claims about their cognitive functioning, mental states, or decision-making capacities.

Indian constitutional jurisprudence, particularly Selvi and Puttaswamy, supplies important foundations for mental privacy, personal liberty, and informational autonomy. Samira Kohli informs medical consent, while biometric-privacy litigation such as Patel v. Facebook illustrates the legal significance of unauthorized biometric processing. Medical-negligence authorities provide a further framework for assessing professional responsibility.

Taken together, these authorities support a structured approach based on legality, consent, scientific reliability, proportionality, non-discrimination, security, and effective remedies. However, Cognitive Biomarker Accountability remains an analytical framework rather than a separately established, universally binding legal doctrine.

For a more specialized legal analysis, the next useful step would be to examine Cognitive Biomarker Accountability under Indian constitutional law, the DPDP Act, and relevant Supreme Court precedents, distinguishing settled law from emerging legal proposals.