1. Introduction

The Digital Neural-Rights Accountability Doctrine is an emerging legal and constitutional framework concerned with protecting human brain activity, neural data, cognitive autonomy, mental privacy and psychological integrity against misuse by digital technologies.

The doctrine addresses the legal consequences of technologies capable of recording, interpreting, transmitting, modifying or influencing human neural activity. These technologies include:

Brain-computer interfaces (BCIs).

Neural implants and neuroprosthetics.

Artificial intelligence-based brain monitoring.

Neuroimaging and neural-data analytics.

Digital consciousness and cognitive simulation systems.

Neuromarketing and behavioural prediction technologies.

Neurotechnology used in healthcare, employment, education and law enforcement.

Traditional privacy law primarily protects personal information and communications. Neural-rights law raises a more fundamental question: Who has legal authority over information generated by the human brain, and who is accountable when technology interferes with an individual's mental autonomy?

The doctrine therefore seeks to establish that human neural activity must not become an unrestricted source of commercial exploitation, governmental surveillance or algorithmic manipulation.

It is an emerging doctrinal framework rather than a universally recognised, independently codified branch of law. Its foundations can be developed through constitutional rights, privacy law, data-protection legislation, medical consent, human-rights principles and emerging neurotechnology regulation.

2. Meaning and Nature of Neural Rights

Neural rights are proposed legal protections concerning the human brain, mental processes and information derived from neural activity.

Five principal interests can be identified.

A. Mental privacy

Mental privacy protects information about an individual's thoughts, emotional responses, cognitive patterns, intentions and neurological conditions.

For example, a neurotechnology company may collect brain-signal information through a wearable device. Such information could reveal characteristics that the individual never intended to disclose.

The doctrine therefore requires:

Lawful collection of neural information.

Specific and informed consent.

Restrictions on secondary commercial use.

Security against unauthorised access.

Limits on governmental acquisition and disclosure.

B. Cognitive liberty

Cognitive liberty concerns an individual's freedom to control their own mental processes without unjustified technological or governmental interference.

It includes the freedom to accept or refuse cognitive enhancement, brain stimulation, neurotechnology and other interventions affecting mental activity.

C. Mental integrity

Mental integrity protects individuals against unauthorised interference with their neurological functioning.

Examples include:

Unauthorised brain stimulation.

Manipulation through implanted neurotechnology.

Unsafe neural stimulation algorithms.

Technological interference with memory or cognitive functioning.

D. Psychological autonomy

Psychological autonomy protects the individual's ability to form opinions, make decisions and exercise independent judgment.

AI systems capable of analysing neural responses could potentially manipulate individuals through personalised psychological interventions.

E. Neural-data ownership and control

This concerns the legal rights and interests of individuals in neural information generated through their bodies and brain activity.

The doctrine does not necessarily establish absolute property ownership over every neural dataset. Rather, it proposes enforceable rights of access, control, consent, correction, protection and restrictions on exploitation.

3. Constitutional Foundations of the Doctrine

A. Right to privacy

The right to privacy is the primary constitutional foundation of neural-rights accountability.

Neural information is particularly sensitive because it may reveal information about an individual's internal mental processes rather than merely external behaviour.

In India, Article 21 of the Constitution protects life and personal liberty. Article 14 provides protection against arbitrary State action, while Article 20(3) protects an accused person against compelled self-incrimination.

The doctrine proposes that these constitutional guarantees should be interpreted to protect neural information and mental autonomy.

B. Human dignity

Human dignity requires recognition of individuals as autonomous persons rather than objects of technological experimentation.

A person should not be treated merely as a source of commercially valuable brain data.

C. Freedom of thought and conscience

Freedom of thought is fundamental to individual identity and democratic society.

Neural technologies that monitor or influence thought processes create questions concerning:

Freedom of belief.

Freedom of opinion.

Intellectual independence.

Freedom from psychological coercion.

Freedom to maintain private mental experiences.

D. Bodily and psychological integrity

Neural implants and brain-stimulation devices can affect both physical and psychological functioning.

Consequently, the doctrine connects informed medical consent with the constitutional protection of bodily and mental integrity.

E. Equality and non-discrimination

Neural information could be used to classify individuals according to attention, emotional response, cognitive performance or predicted behaviour.

Employers, educational institutions, insurers and public authorities could potentially use such information to discriminate against individuals.

Neural-rights accountability therefore requires protection against discriminatory neurological profiling.

4. The Digital Neural-Rights Accountability Doctrine: Seven Core Principles

The proposed doctrine can be developed through seven interrelated principles.

1. Principle of neural-data sovereignty

Individuals must retain meaningful control over personal information derived from their neural activity.

An organisation collecting such information must establish a lawful purpose and explain the nature of processing.

2. Principle of informed neural consent

Consent must be specific, informed, voluntary and capable of withdrawal, subject to legitimate legal retention requirements.

General acceptance of software terms should not automatically authorise every future use of neural information.

3. Principle of cognitive autonomy

Technology providers must not manipulate mental processes without appropriate legal authority and valid consent.

4. Principle of neural integrity

Neural implants and stimulation systems must comply with appropriate medical, technical and safety requirements.

5. Principle of algorithmic accountability

Companies using AI to interpret neural signals must maintain sufficient documentation, testing, transparency and mechanisms for challenging harmful decisions.

6. Principle of non-commercial exploitation

Neural data should not be sold, transferred or used for unrelated commercial purposes without an appropriate lawful basis and safeguards.

7. Principle of effective remedies

Individuals must have access to complaints mechanisms, investigation, correction, deletion where legally available, compensation where justified and judicial remedies.

5. Important Case Laws and Judicial Developments

The doctrine has particularly strong foundations in Indian constitutional jurisprudence and the landmark Chilean neuro-rights decision.

Case 1. Girardi v. Emotiv Inc. (2023)

Landmark neuro-rights decision

Court: Supreme Court of Chile.

Date: 9 August 2023.

Case: Rol No. 105.065-2023.

Facts:

Guido Girardi used Emotiv's Insight neurotechnology headset, which collected electrical brain-activity information through EEG sensors.

The dispute concerned the company's collection, storage, use and retention of neural information.

The applicant raised concerns about:

Unauthorised use of brain data.

Insufficient control over stored information.

Potential commercial exploitation.

Scientific research using neural information.

Risks to privacy and mental integrity.

Judgment:

The Chilean Supreme Court allowed the constitutional protection action and required the relevant public authorities to examine the device's commercialisation and use under applicable law.

It also ordered the company to delete the applicant's stored neural information.

The Court emphasised the importance of protecting human integrity, privacy and confidentiality in the development of neurotechnology.

desc.scjn.gob.mx+2

Legal significance:

This decision is particularly important because it demonstrates that neural information cannot be treated as ordinary commercial data without considering its implications for fundamental rights.

It provides a judicial foundation for:

Neural-data protection.

Informed consent.

Regulatory oversight.

Deletion of improperly retained neural information.

State responsibility for supervising emerging technologies.

Connection with the proposed doctrine: Neural-technology companies should be accountable not only for data breaches but also for unlawful collection, retention and secondary use of neural information.

Case 2. Selvi v. State of Karnataka (2010)

Court: Supreme Court of India.

Citation: (2010) 7 SCC 263.

Date: 5 May 2010.

Facts:

The case concerned the involuntary administration of:

Narcoanalysis tests.

Polygraph examinations.

Brain Electrical Activation Profile (BEAP) tests.

The central question was whether investigative authorities could subject individuals to these techniques without their consent.

Judgment:

The Supreme Court held that involuntary administration of these techniques violated constitutional protections, particularly Article 20(3) and Article 21.

The Court recognised that compelled scientific investigative techniques implicate personal liberty, mental privacy and the individual's control over personal knowledge.

It also distinguished voluntary testing from compulsory testing and laid down safeguards concerning voluntary administration.

Legal significance:

This case is fundamental to the development of neural-rights accountability in India.

It establishes that the State cannot freely use scientific techniques to extract information from an individual's mind merely because such techniques may assist criminal investigations.

Connection with the proposed doctrine: Neural technologies must not become instruments of compelled mental extraction or involuntary cognitive surveillance.

Indian Kanoon

Case 3. Justice K.S. Puttaswamy (Retd.) v. Union of India (2017)

Court: Supreme Court of India.

Citation: (2017) 10 SCC 1.

Date: 24 August 2017.

Facts:

The case concerned whether privacy constitutes a fundamental right under the Indian Constitution.

Judgment:

A nine-judge Constitution Bench unanimously recognised privacy as a fundamental right.

The judgment recognised several dimensions of privacy, including:

Bodily privacy.

Informational privacy.

Decisional autonomy.

Personal liberty.

Individual dignity.

It also established the constitutional framework for evaluating State interference with privacy.

The three-part proportionality framework:

Any State action restricting privacy must satisfy:

Legality: There must be a valid law authorising the interference.

Legitimate aim: The interference must pursue a constitutionally legitimate objective.

Proportionality: The measure must be necessary and proportionate to that objective.

Legal significance for neural rights:

Neural information can be understood as a particularly intimate category of personal information.

Consequently, State collection of neural data for surveillance, criminal investigation or administrative profiling would require constitutional justification.

The judgment also provides a foundation for positive State obligations to protect individuals against certain privacy violations by private actors.

Indian Kanoon+1

Case 4. K.S. Puttaswamy v. Union of India (Aadhaar case) (2018)

Court: Supreme Court of India.

Citation: (2019) 1 SCC 1.

Judgment: 26 September 2018.

Facts:

The litigation examined the constitutional validity of the Aadhaar identification framework and the collection and use of biometric information.

Judgment:

The Supreme Court applied constitutional privacy principles to identification technology and State data collection.

It examined necessity, proportionality, data protection and the limits of compulsory identification.

Legal significance:

The judgment is relevant to neural technologies because it demonstrates that technological convenience and administrative efficiency cannot independently justify unrestricted collection of sensitive personal information.

Connection with the proposed doctrine: A neural-data collection system should be assessed according to its necessity, purpose, proportionality and safeguards against misuse.

Indian Kanoon+1

Case 5. Nandini Satpathy v. P.L. Dani (1978)

Court: Supreme Court of India.

Citation: (1978) 2 SCC 424.

Facts:

The case concerned the right of an accused person to remain silent during police interrogation.

Judgment:

The Supreme Court interpreted the protection against self-incrimination under Article 20(3) broadly, recognising that the protection is relevant during police interrogation and is not confined merely to the courtroom.

Legal significance:

This judgment supports the argument that the State cannot circumvent constitutional protections by replacing conventional questioning with technological methods of extracting personal information.

Connection with the proposed doctrine: Compulsory neural interrogation should be assessed against the constitutional protection against testimonial compulsion, as explained in Selvi and Nandini Satpathy.

Case 6. Jalloh v. Germany (2006)

Court: European Court of Human Rights, Grand Chamber.

Application No.: 54810/00.

Date: 11 July 2006.

Facts:

The applicant was subjected to a medical intervention involving the administration of an emetic substance to obtain evidence of concealed drugs.

Judgment:

The Court examined the forced medical intervention under Article 3 of the European Convention on Human Rights and its implications for the right to a fair trial under Article 6.

Legal significance:

Although not a neurotechnology case, the decision illustrates that bodily interventions undertaken for investigative purposes must respect human dignity and fundamental rights.

Connection with the proposed doctrine: Invasive neural procedures undertaken to obtain evidence must be examined through standards of necessity, medical safety, bodily integrity and procedural fairness.

6. International Human Rights and Neural-Rights Protection

A. United Nations human-rights framework

The proposed doctrine can be connected with several international human-rights instruments.

An important distinction exists between freedom of thought and freedom from interference with mental integrity. The former is expressly protected by international human-rights law, while the latter's precise scope in the neurotechnology context remains under development.

B. OECD Recommendation on Responsible Innovation in Neurotechnology

The OECD's 2019 Recommendation on Responsible Innovation in Neurotechnology provides an important policy foundation.

It encourages:

Responsible neurotechnology research.

Safety and assessment of technological risks.

Protection of human rights.

Public engagement.

International cooperation.

Responsible commercialisation.

It is a policy instrument rather than a directly enforceable international treaty.

C. UNESCO and emerging neurotechnology governance

UNESCO's work on neurotechnology governance provides an international ethical and regulatory context for protecting human dignity, mental privacy and autonomy.

The central regulatory concern is that technological progress should remain compatible with human rights and ethical safeguards.

7. Neural-Rights Accountability under Indian Law

India does not yet have a comprehensive, standalone statutory code establishing all five proposed neural rights. Nevertheless, several existing legal frameworks can provide protection.

A. Constitution of India

Articles 20(3) and 21 are particularly relevant when neural technologies are used by investigating agencies.

B. Digital Personal Data Protection Act, 2023

The Digital Personal Data Protection Act, 2023 provides a general framework governing digital personal data.

Its relevance to neural information includes:

Processing of digital personal data must satisfy the statutory requirements.

Consent and specified legitimate uses govern the relevant processing activities.

Data fiduciaries have statutory obligations.

Data principals receive specified rights.

Breaches and non-compliance can attract statutory consequences.

An important limitation is that the Act does not establish a separate, expressly named category of neural data with its own specialised regulatory regime.

Therefore, neural information that qualifies as digital personal data may receive protection under the general framework, but the distinctive risks of mental inference and cognitive manipulation require further attention.

C. Information Technology Act, 2000

The Information Technology Act may be relevant to:

Unauthorised access to neural-data systems.

Cybersecurity violations.

Unlawful disclosure of information.

Computer-related offences.

Liability for certain negligent security practices.

Section 43A historically provided compensation for failure to protect sensitive personal data, but its current applicability must be assessed in light of the subsequent data-protection legislative framework and repeal provisions.

D. Medical Devices Rules, 2017

Where a neurotechnology product falls within the regulatory definition of a medical device, the Medical Devices Rules, 2017 and applicable provisions of the Drugs and Cosmetics Act, 1940 become relevant.

Regulatory issues include:

Device classification.

Safety and performance.

Clinical evaluation where applicable.

Manufacturing and import requirements.

Post-market monitoring.

Regulatory authorisation.

Not every consumer EEG headset automatically qualifies as a medical device. Classification depends on its intended purpose and applicable regulatory definitions.

E. Mental Healthcare Act, 2017

The Mental Healthcare Act, 2017 is relevant to the protection of autonomy, dignity, confidentiality and informed consent in mental healthcare.

Its principles can inform the regulation of neurotechnology used in psychiatric treatment, although it is not a comprehensive law governing all commercial neural-data processing.

8. Accountability of Different Stakeholders

The doctrine proposes a multi-layered accountability structure.

A. Corporate accountability

Neurotechnology companies should be responsible for the foreseeable consequences of collecting, processing and commercialising neural information.

A company should not avoid responsibility merely because an AI algorithm or external service provider performs the actual processing.

B. Algorithmic accountability

Suppose an AI system interprets EEG signals and concludes that an employee has low attention or emotional instability.

If the employer uses this prediction to terminate the employee, several questions arise:

Was the neurological inference scientifically reliable?

Was the employee informed?

Was consent genuinely voluntary?

Was the inference relevant to the employment decision?

Was the employee given an opportunity to challenge the result?

Was the information retained beyond its legitimate purpose?

The doctrine proposes that consequential decisions should not be based exclusively on unverified neural predictions.

C. Government accountability

Government authorities must not use neural technologies as unrestricted instruments of surveillance or interrogation.

Any interference with constitutional rights must satisfy legality, legitimate purpose and proportionality.

D. Research accountability

Universities, hospitals and biotechnology companies conducting neural research should maintain:

Independent ethical review.

Informed participant consent.

Confidentiality.

Secure research environments.

Purpose limitation.

Rules governing secondary use and publication.

9. Liability for Violations of Neural Rights

The proposed doctrine recognises several possible forms of liability.

1. Constitutional liability: Unlawful State interference may justify constitutional remedies under Articles 32 and 226.

2. Data-protection liability: Unlawful processing or security failures may attract applicable statutory penalties and remedies.

3. Civil liability: Negligence, breach of confidence, contractual violations or other recognised causes of action may support civil claims.

4. Medical liability: Unsafe neural implants, negligent treatment and inadequate medical consent may give rise to medical and professional liability.

5. Criminal liability: Depending on the conduct, applicable criminal provisions may address unauthorised access, identity misuse, deception, coercion or other offences.

6. Regulatory liability: Authorities may impose applicable restrictions, corrective measures, penalties or other regulatory consequences.

The important principle is that liability must be linked to an established legal duty, breach, causation and the relevant statutory or common-law requirements. Neural-rights accountability should not be treated as an automatic independent cause of action in every jurisdiction.

10. Emerging Challenges in Digital Neural-Rights Governance

Brain Computer Interface Market Expected to Reach US$9.26

1. Brain-computer interface surveillance

Neural devices may continuously collect brain signals, creating risks of excessive monitoring and unauthorised disclosure.

小马拉大车 - 小马拉大车视频社区，精彩视频每日更新 | 影视传媒与视频社区

2. AI-based thought inference

Machine-learning systems may infer emotional states, attention patterns and other cognitive characteristics from neural signals. Such inferences can be uncertain and context-dependent.

3. Unauthorised neural stimulation

Brain stimulation devices create questions concerning consent, medical safety, psychological integrity and responsibility for harmful outcomes.

The Rise of Neural Interface Devices: Bridging Minds and Machines – QuantumByteBuzz

4. Neural-data cyberattacks

Neural datasets stored in cloud platforms may be exposed through hacking, unauthorised transfers or insecure third-party processing.

11. Proposed Institutional Framework for Neural-Rights Accountability

A comprehensive neural-rights regulatory system could be organised through the following institutional mechanisms.

These are proposed institutional arrangements, not a description of institutions already established in India under a dedicated neural-rights statute.

Proposed regulatory safeguards

A future Indian neural-rights statute could introduce:

Mandatory neural-data impact assessments.

Special protection for neural and inferred mental-state data.

Prohibition of coercive non-therapeutic brain monitoring.

Independent approval for high-risk neural experiments.

Mandatory reporting of serious neural-data breaches.

Restrictions on neural-data advertising and commercial profiling.

Independent audits of AI-based neural interpretation.

Compensation mechanisms for unlawful neurological interference.

Special safeguards for children and persons with disabilities.

Judicial oversight of government access to neural information.

12. Hypothetical Judicial Application

Consider a situation in which an employer introduces an AI-powered EEG monitoring system.

The system records employees' brain signals and generates reports concerning their concentration, emotional responses and predicted productivity.

An employee is dismissed because an algorithm classifies them as psychologically unsuitable for the workplace.

Under the proposed Digital Neural-Rights Accountability Doctrine, the following questions would arise:

An Indian court could examine such a dispute through Articles 14 and 21, the applicable data-protection framework, employment law and established principles of natural justice.

The constitutional principles in Puttaswamy and Selvi would be particularly relevant, although the final outcome would depend on the facts and applicable legislation.

13. Critical Legal Analysis

The doctrine presents five major theoretical challenges.

First: The problem of mental privacy.

Traditional privacy legislation was largely developed around identifiable personal information. Neural technologies introduce the possibility of inferring information about internal mental processes. This requires a more sophisticated understanding of informational privacy.

Second: The problem of technological uncertainty.

Neural signals do not necessarily provide direct or accurate access to thoughts. AI-generated conclusions about emotional states, intentions and cognitive conditions may be probabilistic. Law must distinguish actual neurological information from uncertain algorithmic predictions.

Third: The problem of consent.

Consent may be insufficient where individuals have no realistic alternative to using a neurotechnology system, particularly in employment, healthcare or educational environments.

Fourth: The problem of corporate responsibility.

Neural-data processing may involve device manufacturers, cloud providers, software developers, research institutions and commercial intermediaries. A comprehensive accountability system must identify their respective responsibilities.

Fifth: The problem of innovation and human freedom.

Excessive restrictions could interfere with beneficial applications of neurotechnology, including treatment of neurological disorders, communication assistance and rehabilitation.

The legal objective should therefore be to protect human autonomy while permitting responsible scientific and medical innovation.

14. Future Development of the Doctrine

An important international development occurred in November 2025, when UNESCO adopted its Recommendation on the Ethics of Neurotechnology at its 43rd General Conference. The instrument establishes an international normative framework addressing neurotechnology, human rights, ethics and governance. It entered into force on 12 November 2025 as a UNESCO Recommendation.

UNESCO+2

The OECD Recommendation on Responsible Innovation in Neurotechnology, adopted in 2019, also provides nine governance principles, including safety, personal brain-data protection, institutional oversight and prevention of technological misuse.

OECD Legal Instruments+1

For India, the Digital Personal Data Protection Act, 2023 and the Digital Personal Data Protection Rules, 2025 provide an important general legislative foundation. However, the statutory commencement is phased, and these instruments do not constitute a dedicated neural-rights code.

India Code+2

15. Conclusion

The Digital Neural-Rights Accountability Doctrine represents an emerging development in constitutional law, human-rights law, data-protection law and biotechnology regulation.

Its central proposition is that technological access to the human brain must not automatically confer legal authority over an individual's mental information, cognitive processes or psychological autonomy.

The decisions in Selvi v. State of Karnataka (2010), Justice K.S. Puttaswamy v. Union of India (2017) and Girardi v. Emotiv Inc. (2023) provide significant judicial foundations for its development.

The Chilean Supreme Court's decision is particularly important because it directly addresses the legal implications of commercially collected neural information.

Ultimately, the doctrine proposes a transition from ordinary digital-data accountability towards constitutional accountability for technologies that access, interpret, influence or manipulate the human mind.

Its ultimate objective is to ensure that technological innovation remains subordinate to human dignity, mental freedom, informed consent and constitutional liberty.

16. Important Authorities and Reading List

Primary research sources:

Chilean Supreme Court judgment – Girardi/Emotiv.

Supreme Court of India – Selvi judgment.

Puttaswamy privacy judgment.

OECD neurotechnology recommendation.

UNESCO Recommendation on the Ethics of Neurotechnology.

India's Digital Personal Data Protection Act, 2023.

Academic research classification: This doctrine can be developed as an independent theoretical framework within constitutional neuro-rights law, particularly through the relationship between mental privacy, cognitive liberty, neural-data sovereignty, algorithmic accountability and the right to mental integrity.