1. Introduction

The Decentralized Neurogovernance Accountability Governance Doctrine is an emerging legal and regulatory concept concerned with the distribution of responsibility, decision-making authority, oversight and legal accountability among multiple institutions that develop, operate, regulate or use neurotechnology.

Neurotechnology includes technologies that interact with the human nervous system, such as:

Brain–computer interfaces (BCIs).

Neural implants and neuroprosthetics.

Neuroimaging and brain-monitoring devices.

Neural-data collection and processing systems.

AI-powered neurological diagnosis.

Cognitive enhancement technologies.

Neuromodulation and brain stimulation devices.

Commercial applications that infer emotions, attention, memory or mental states.

The doctrine addresses an important legal problem: Who is legally accountable when control over a person's neural data, brain activity or neurological decisions is distributed among technology companies, hospitals, researchers, AI developers, government agencies and private service providers?

Traditional governance generally assumes that one identifiable authority is responsible for a decision. Decentralized neurogovernance challenges this assumption because several independent actors may participate in the same technological process.

The doctrine therefore seeks to establish distributed but identifiable accountability without allowing any participant to escape responsibility merely because another institution was involved.

It draws upon constitutional law, administrative law, data protection, medical negligence, human rights, product liability and AI governance.

Legal status: This is an emerging doctrinal framework rather than a universally codified or independently recognized legal doctrine.

2. Meaning and Essential Characteristics

Decentralized neurogovernance means that authority over neurotechnology is distributed among different institutions instead of being concentrated in a single regulator or organization.

For example, consider a brain implant used to treat a neurological disorder:

A manufacturer designs the implant.

An AI developer creates the neural-signal interpretation software.

A hospital performs implantation.

A medical professional supervises treatment.

A cloud provider stores neural information.

A regulator approves or supervises the medical device.

An independent research institution evaluates its safety.

If the device malfunctions, neural information is unlawfully disclosed or an automated system produces a harmful recommendation, determining responsibility becomes complicated.

The doctrine addresses this problem through the following principles:

3. Major Elements of the Doctrine

A. Distributed institutional accountability

Responsibility must be allocated according to the actual role of each participant.

For instance, a hospital may be responsible for obtaining informed consent, while a manufacturer may be responsible for device defects and a software provider may be responsible for failures within its contractual or statutory duties.

Decentralization must not become a mechanism for avoiding liability.

B. Neural-data sovereignty

Neural data may reveal information about a person's cognition, emotions, intentions, neurological conditions and potentially other intimate characteristics.

Consequently, governance must address:

Lawful collection of neural information.

Informed and specific consent.

Purpose limitation.

Data minimization.

Secure storage and processing.

Restrictions on secondary commercial use.

Access, correction and deletion rights where legally applicable.

Protection against unauthorized neural surveillance.

C. Algorithmic accountability

AI systems may interpret neural signals and generate neurological or behavioural predictions.

Accountability requires appropriate documentation of:

Training-data sources.

Algorithmic limitations.

Accuracy and error rates.

Bias and discriminatory effects.

Human intervention mechanisms.

Decisions affecting treatment or personal autonomy.

D. Independent institutional oversight

A decentralized structure requires oversight mechanisms that are independent of the organizations developing or commercializing neurotechnology.

These may include data protection authorities, medical-device regulators, research ethics committees, courts and independent technical auditors.

E. Effective remedies

An affected individual should have meaningful access to investigation, correction, compensation and judicial remedies.

A contractual division of responsibilities between companies should not automatically eliminate rights available to patients or data subjects under applicable law.

4. Constitutional and Human Rights Foundations

The doctrine is closely connected with fundamental rights because neurotechnology can affect the internal mental processes of individuals.

A. Right to privacy

The right to privacy protects personal information and individual autonomy. Neural information requires particularly careful protection because it may disclose intimate aspects of a person's mental and neurological functioning.

B. Right to mental integrity

Mental integrity concerns protection against unauthorized interference with neurological and psychological functioning.

Examples include:

Unauthorized brain stimulation.

Covert neurological experimentation.

Manipulation through brain–computer interfaces.

Unlawful collection of neural signals.

C. Freedom of thought and cognitive liberty

Individuals should retain freedom over their thoughts, mental processes and cognitive choices.

Government agencies and private companies should not use neurotechnology to compel mental disclosure or manipulate individuals without a valid legal basis.

D. Informed consent

Consent must be meaningful, voluntary and based on adequate information. In medical neurotechnology, patients should understand the purpose, foreseeable risks, data practices and available alternatives.

E. Equality and non-discrimination

Neural information should not become an unjustified basis for discrimination in employment, insurance, education, healthcare or access to public services.

5. Important Case Laws and Judicial Principles

The following cases provide the judicial foundation for developing decentralized neurogovernance accountability. Some concern neurotechnology directly, while others establish constitutional and medical principles applicable by analogy.

Case 1. Selvi v. State of Karnataka (2010) 7 SCC 263

Directly relevant to neurotechnology

Supreme Court of India · 5 May 2010

This is one of the most important Indian judgments concerning the relationship between neuroscience, investigative technology and constitutional liberty.

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

Legal issues:

Whether involuntary neurological and psychological testing violates Article 20(3).

Whether such testing violates personal liberty under Article 21.

Whether the State can compel individuals to participate in investigative techniques that seek information from their mental processes.

Judgment: The Supreme Court held that involuntary administration of these techniques violates Article 20(3), which protects against compelled self-incrimination, and also infringes the protection of personal liberty under Article 21.

The Court emphasized the importance of consent and safeguards for voluntary testing.

Relevance to the doctrine: This judgment establishes that technological access to brain-related information cannot automatically override constitutional rights. It supports accountability for investigators, medical professionals and institutions involved in neurological testing.

Indian Kanoon+1

Case 2. Justice K.S. Puttaswamy (Retd.) v. Union of India (2017) 10 SCC 1

Constitutional foundation

Supreme Court of India · 24 August 2017

Facts: The Supreme Court considered whether privacy constitutes a fundamental right under the Indian Constitution.

Judgment: A nine-judge Constitution Bench unanimously recognized privacy as a fundamental right, protected principally through Article 21 and the freedoms guaranteed by Part III.

The judgment recognized privacy in relation to personal autonomy, dignity, bodily integrity and informational self-determination.

Relevance to decentralized neurogovernance:

Neural information can be considered highly intimate personal information. The constitutional privacy framework is therefore relevant when hospitals, technology companies, researchers or public authorities collect and process neural data.

The judgment supports:

Purpose limitation.

Protection against arbitrary data collection.

Individual autonomy.

Proportionality of State interference.

Safeguards against misuse of personal information.

It provides a constitutional basis for challenging disproportionate neural surveillance and unauthorized processing.

Indian Kanoon

Case 3. Girardi v. Emotiv Inc. (2023), Rol No. 105.065-2023

Landmark neurotechnology judgment

Supreme Court of Chile · 9 August 2023

Facts: Guido Girardi used the Emotiv Insight neurotechnology headset, which records electrical activity of the brain. Concerns arose regarding the collection, storage and processing of his brain data.

Legal issues:

Whether neural information receives constitutional privacy protection.

Whether commercial neurotechnology can process brain data without adequate safeguards.

Whether regulatory authorities must supervise the commercialization and use of such devices.

Judgment: The Chilean Supreme Court allowed the constitutional protection appeal. It ordered deletion of the relevant stored information and required competent authorities to take measures to ensure compliance with applicable law concerning the device, its commercialization and its data processing.

Relevance to the doctrine:

This judgment is particularly significant because it demonstrates how accountability may be distributed among:

Neurotechnology manufacturers.

Cloud-storage providers.

Data-processing companies.

Medical and scientific regulators.

Customs and market-surveillance authorities.

It provides a practical judicial example of decentralized neurotechnology oversight.

CORTE SUPREMA DE CHILE+2

Case 4. Common Cause v. Union of India (2018) 5 SCC 1

Supreme Court of India · 9 March 2018

Facts: The case concerned passive euthanasia, advance medical directives and the right to die with dignity.

Judgment: The Supreme Court recognized the constitutional significance of dignity, autonomy and the right to make important decisions concerning one's body and medical treatment.

Relevance: Neurotechnology can involve deeply personal medical decisions, including implantation, brain stimulation and withdrawal of neurological interventions.

The principles of bodily autonomy and dignity support the requirement that patients retain meaningful control over medical decisions. Neurotechnology developers and hospitals must respect valid consent and applicable medical safeguards.

Case 5. Samira Kohli v. Dr. Prabha Manchanda (2008) 2 SCC 1

Supreme Court of India · 16 January 2008

Facts: The dispute concerned the scope of medical consent and whether consent for one medical procedure could authorize an additional procedure.

Judgment: The Supreme Court explained the legal requirements of valid informed consent and the limits of medical authorization.

Relevance: The judgment is important for neural implants, invasive brain procedures and experimental neurotechnology.

Consent to neurological treatment should not automatically be treated as consent to:

Commercial exploitation of neural data.

Unrelated scientific research.

Additional neurological procedures.

AI-based behavioural profiling.

Unspecified future data processing.

The scope of consent must be assessed according to the actual procedure and purpose.

Case 6. Common Cause v. Union of India (2018) 5 SCC 1

Relevance: Medical autonomy and decentralized clinical decision-making

The Supreme Court recognized the importance of dignity, autonomy and advance medical directives in end-of-life medical decisions.

The decision is relevant where patients use neurological implants, deep-brain stimulation or other technologies that may affect their long-term medical condition.

It supports the principle that medical institutions must respect legally valid patient choices and follow appropriate safeguards rather than treating technological intervention as an exclusively institutional decision.

Indian Kanoon

Case 7. Samira Kohli v. Dr. Prabha Manchanda (2008) 2 SCC 1

Relevance: Informed consent and medical accountability

The Supreme Court explained that consent for a medical procedure must be informed and voluntary. Consent to one procedure does not automatically authorize a substantially different procedure.

Applied to neurotechnology, a patient consenting to a brain implant does not necessarily consent to the commercial exploitation of neural information or unrelated experimentation.

Hospitals, researchers and manufacturers must respect the actual scope of authorization.

Indian Kanoon+1

Case 8. Maneka Gandhi v. Union of India (1978) 1 SCC 248

Relevance: Procedural fairness and State accountability

The Supreme Court established that a procedure affecting life or personal liberty must be fair, just and reasonable rather than arbitrary.

This principle is relevant when government institutions deploy neurological monitoring, automated mental-state assessment or neurotechnology-based investigations.

A public authority cannot justify intrusive neurological surveillance merely by claiming administrative convenience. The interference must have a lawful and constitutionally defensible basis.

Case 9. K.S. Puttaswamy and proportionality jurisprudence

The proportionality principles developed in Puttaswamy provide a framework for assessing State interference with neural privacy.

The important questions are:

Is there a valid law authorizing the interference?

Does it pursue a legitimate governmental objective?

Is the measure suitable for achieving that objective?

Is the interference necessary and proportionate?

Are adequate safeguards and remedies available?

These requirements are particularly important for decentralized surveillance systems in which different public agencies exchange neural information.

Indian Kanoon+1

6. Indian Legal and Regulatory Framework

Although India does not have a comprehensive standalone statute specifically governing neurotechnology, several existing legal frameworks are relevant.

The Digital Personal Data Protection Act, 2023

The DPDP Act provides an important general framework for digital personal data protection. Neural data that identifies or relates to an identifiable individual may fall within its scope.

Its relevance includes:

Lawful processing of personal data.

Consent and specified legitimate uses.

Duties of data fiduciaries.

Security safeguards.

Individual rights under the Act.

Applicable remedies and regulatory enforcement.

An important distinction is that the DPDP Act does not create a separate statutory category called neural data or brain data. Consequently, the special sensitivity of neural information must be addressed through appropriate safeguards under applicable law and future regulatory development.

India Code+1

7. Decentralized Accountability: Allocation of Legal Responsibility

A central objective of the doctrine is to identify the legal responsibilities of each participating actor.

For example, suppose a neural implant malfunctions because of a software update supplied by an external developer.

The manufacturer may face liability for a defective product or inadequate safety controls. The developer may face liability for its own negligent conduct or breach of applicable legal duties. The hospital may also be responsible if it failed to conduct required checks or ignored warning signs.

Liability must therefore be determined through evidence, applicable statutes, contractual relationships, causation and the conduct of each participant. Distributed responsibility does not automatically mean equal responsibility.

8. Institutional Governance and Oversight Mechanisms

The doctrine requires coordination between multiple institutions.

A. Neurotechnology regulatory supervision

Regulators should assess:

Clinical safety.

Cybersecurity.

Data-processing arrangements.

Risks of neurological injury.

Reliability of AI-based interpretation.

Post-market monitoring.

B. Independent ethics committees

Research ethics committees should evaluate the scientific purpose, risks, informed consent and protection of participants involved in neurological research.

C. Judicial supervision

Courts should be able to review unlawful neurological interventions, privacy violations, discriminatory decisions and failures of regulatory oversight.

D. Technical auditing

Independent auditors should examine software updates, data access, system logs, security controls and the reliability of neural-data processing.

E. Cross-border accountability

Where a device is manufactured in one country, neural data are stored in another and treatment takes place in a third, governance must address applicable privacy laws, jurisdiction, evidence preservation and enforcement cooperation.

9. International Governance and UNESCO's Contribution

An important international development is UNESCO's Recommendation on the Ethics of Neurotechnology, adopted in November 2025.

It establishes an international normative framework addressing the ethical development and use of neurotechnology, including human dignity, mental privacy, autonomy and protection against misuse.

The Recommendation is particularly relevant to decentralized governance because neurotechnology involves cross-border companies, research institutions, medical systems and data processors.

It provides guidance for developing national laws and institutional safeguards, although it is a recommendation rather than a directly enforceable international treaty.

UNESCO+2

10. Major Legal Challenges

Despite its importance, decentralized neurogovernance faces several difficulties.

1. Fragmentation of jurisdiction

Different regulators may have authority over medical devices, personal information, cybersecurity and research ethics. This can create regulatory gaps.

2. Difficulty identifying responsibility

When several institutions participate in a neurological decision, it may be difficult to establish which actor caused the harm.

3. Neural-data commercialization

Companies may seek to commercialize brain-related information for research, product development, advertising or AI training. Existing consent arrangements may not adequately address these uses.

4. Algorithmic opacity

Some AI systems provide neurological predictions without sufficiently explaining how their conclusions were generated.

5. Cross-border enforcement

A person may struggle to obtain remedies when the organization controlling their neural information operates outside their country.

6. Absence of specific legislation

Many jurisdictions rely on general privacy, medical-device and consumer-protection laws rather than comprehensive neurotechnology legislation.

11. Proposed Doctrinal Model

A comprehensive decentralized neurogovernance accountability model should contain the following seven pillars:

Seven pillars of neurogovernance

Constitutional protection

Protect mental privacy, dignity, autonomy and freedom of thought.

Distributed legal responsibility

Identify the legal obligations of manufacturers, hospitals, developers and regulators.

Neural-data protection

Ensure lawful collection, processing, storage and disclosure.

Algorithmic transparency

Require appropriate explanations, technical documentation and independent auditing.

Medical and research ethics

Preserve informed consent, clinical safety and research independence.

Independent enforcement

Establish effective regulatory supervision and judicial review.

Remedies and compensation

Provide accessible complaint mechanisms, correction, deletion where applicable and compensation for legally established harm.

12. Hypothetical Judicial Application

Consider a situation in which a private company develops an AI-powered brain-monitoring headset. A hospital uses it to monitor patients, while an external cloud provider stores their neural information.

Suppose the information is subsequently disclosed to an insurance company without an appropriate legal basis.

The legal questions would include:

Whether the original collection was lawful.

Whether the patient provided valid consent.

Whether the cloud provider complied with its security obligations.

Whether the hospital properly supervised data processing.

Whether the manufacturer or software developer contributed to the disclosure.

Whether the affected person can obtain compensation or other remedies.

In India, constitutional privacy principles under Puttaswamy, the protections against compelled neurological testing under Selvi, and applicable data-protection and consumer laws could become relevant.

The central lesson is that no participating institution should automatically escape accountability simply because another organization controlled a different part of the system.

13. Future Development of the Doctrine

Future legislation should consider creating a specialized neurotechnology governance framework containing:

A statutory definition of neural and neurophysiological data.

Enhanced protection for particularly sensitive neural information.

Mandatory risk assessments for high-risk neurotechnology.

Clear responsibility rules for interconnected neurotechnology systems.

Independent neurotechnology ethics and safety review.

Special safeguards for children and vulnerable individuals.

Restrictions on coercive neurological surveillance.

Effective cross-border regulatory cooperation.

Rights to challenge consequential automated neurological decisions.

Mandatory reporting of serious neurological and data-security incidents.

The framework should also distinguish between therapeutic applications, scientific research, consumer neurotechnology and coercive government applications because their risks and legal justifications are different.

14. Conclusion

The Decentralized Neurogovernance Accountability Governance Doctrine represents a developing approach to legal responsibility in an increasingly interconnected neurotechnology environment.

Its central proposition is that technological decentralization must not result in legal irresponsibility.

The doctrine seeks to ensure that manufacturers, medical professionals, hospitals, software developers, researchers, cloud providers and government regulators remain accountable for their respective actions and failures.

Indian constitutional jurisprudence provides important foundations through Selvi, Puttaswamy, Common Cause and Samira Kohli. International developments, particularly the Chilean Supreme Court's decision in Girardi v. Emotiv Inc., demonstrate the growing importance of direct judicial protection of neural information.

Ultimately, the doctrine seeks to reconcile scientific innovation with human dignity, mental privacy, informed consent, institutional transparency and effective legal remedies.

Its guiding principle is:

Decentralized technological authority must operate under centralized guarantees of human rights, but accountability must remain distributed across every institution responsible for the technology.

15. Important Case Law Reference List

Primary research materials

Supreme Court judgment – Selvi v. State of Karnataka.

Puttaswamy privacy judgment.

Chilean Supreme Court – Girardi v. Emotiv.

Digital Personal Data Protection Act, 2023.

UNESCO Recommendation on the Ethics of Neurotechnology (2025).

Academic note: The proposed doctrine is a synthesis of existing constitutional, privacy, medical and technology-governance principles. It should not be cited as an already established binding doctrine or as a holding expressly recognized in the above judgments.