1. Introduction

Deep-Neural Manipulation Liability is an emerging area of artificial intelligence law, neuroscience law, biotechnology law, privacy law and cybercrime regulation. It concerns the legal responsibility of individuals, companies, technology developers, healthcare institutions and public authorities for manipulating, influencing, altering or interfering with another person's neural processes through artificial intelligence, brain-computer interfaces (BCIs), neurotechnology, neural implants or other advanced computational systems.

Deep-neural manipulation may involve technologies that interact with the human nervous system to influence:

Thoughts, emotions and psychological responses.

Memory formation and memory retrieval.

Attention, concentration and decision-making.

Behavioural patterns and impulses.

Sensory perception and motor functions.

Cognitive autonomy and personal identity.

Not every use of neurotechnology constitutes unlawful manipulation. Therapeutic brain stimulation, neurological rehabilitation and clinically supervised neural implants may be legitimate. Legal liability arises when the technology is misused, negligently designed, operated without valid consent, deployed deceptively or used to cause legally recognizable harm.

The central legal question is:

Who should be held responsible when an AI-powered neural system interferes with an individual's cognitive autonomy, mental privacy or ability to make independent decisions?

This question becomes particularly important when the manipulation is performed remotely, automatically or through systems whose internal operations cannot easily be understood.

2. Meaning and Scope of Deep-Neural Manipulation

Deep-neural manipulation can be understood through five principal categories.

A. Direct neural interference

This involves technologies that directly stimulate or modify neural activity, including deep brain stimulation (DBS), neurostimulation devices and implanted neural interfaces.

B. AI-driven cognitive manipulation

Machine-learning systems may interpret neural signals and generate interventions intended to influence attention, emotional responses or behavioural patterns.

C. Neural-data exploitation

Neural information may reveal sensitive information about a person's cognitive condition, intentions, preferences or responses. Unauthorized collection, disclosure or commercial exploitation can create privacy and data-protection liability.

D. Behavioural manipulation

AI systems may use inferred cognitive characteristics to influence decisions through targeted recommendations, advertising, workplace monitoring or other forms of behavioural intervention.

E. Manipulation through brain-computer interfaces

A BCI may translate neural signals into computer commands or deliver information and stimulation to the nervous system. A defective, insecure or improperly operated interface can create risks to bodily integrity, privacy and autonomy.

These categories must be distinguished because the legal requirements for proving physical injury, psychological harm, privacy violations and economic loss are not identical.

3. Legal Framework Governing Deep-Neural Manipulation in India

India does not currently have a separate statute specifically governing deep-neural manipulation. However, several existing constitutional, criminal, privacy, medical and consumer-protection principles may apply.

A. Constitution of India

Article 21 – Right to Life and Personal Liberty

Article 21 protects life, dignity, personal liberty and privacy. Unauthorised interference with a person's brain activity could raise constitutional concerns involving bodily integrity, mental autonomy and privacy.

Article 19 – Freedom of Thought and Expression

Where neural manipulation affects a person's ability to form or communicate opinions, constitutional freedoms may become relevant.

Article 20(3) – Protection Against Self-Incrimination

Where neural technologies are used to extract information from an accused person, the constitutional protection against compelled self-incrimination becomes important.

Article 14 – Equality Before Law

AI-powered neural monitoring or manipulation by public authorities may raise Article 14 concerns if it is arbitrary, discriminatory or unsupported by lawful authority.

B. Bharatiya Nyaya Sanhita, 2023

Depending on the facts, criminal liability may arise under provisions dealing with:

Causing hurt or grievous hurt through physical interference.

Criminal intimidation and threats.

Cheating and dishonest inducement.

Wrongful confinement or other unlawful restraint.

Forgery and fabrication of electronic records.

Abetment, conspiracy and common intention.

The precise offence depends on the accused person's conduct, intention, resulting injury and available evidence. Mere use of an AI system to influence behaviour does not automatically establish a criminal offence.

C. Information Technology Act, 2000

The Information Technology Act may apply where neural manipulation involves:

Unauthorised access to computer systems.

Theft or misuse of digital information.

Identity-related fraud.

Tampering with electronic records.

Unauthorised disclosure of protected information.

Sections 43 and 66 may become relevant where unauthorised computer access or specified dishonest or fraudulent conduct is established. Section 66C may apply to identity theft, while Section 66D concerns cheating by personation using computer resources.

D. Digital Personal Data Protection Act, 2023

Neural recordings and identifiable information derived from them may qualify as digital personal data.

Relevant legal issues include:

Valid consent and lawful processing.

Transparency concerning data collection.

Purpose limitation and accountability.

Reasonable security safeguards.

Obligations of data fiduciaries.

Rights and remedies available under the applicable statutory framework.

An important distinction is that India has not created a separate statutory category specifically for neural data. Its protection therefore depends substantially on whether the information qualifies as personal data and how the relevant statutory provisions apply.

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4. Major Forms of Legal Liability

4.1 Civil liability for neural interference

Civil liability may arise when a person or organisation unlawfully interferes with another individual's mental or bodily integrity.

Potential grounds include:

Negligence.

Battery or other unlawful physical interference.

Invasion of privacy.

Breach of confidentiality.

Intentional infliction of legally recognised harm.

Defective product liability.

For example, suppose a company manufactures an AI-controlled neural stimulation device. A software defect causes excessive stimulation, resulting in neurological injury. Depending on the evidence, the manufacturer, software developer, healthcare provider or device operator may be liable.

4.2 Medical negligence liability

Hospitals and medical professionals must exercise appropriate professional care when prescribing, implanting, programming and monitoring neural devices.

Liability may arise from:

Failure to obtain informed consent.

Incorrect device programming.

Inadequate neurological assessment.

Failure to monitor adverse effects.

Negligent handling of neural implants.

Failure to disclose material risks.

The fact that a medical device uses sophisticated AI does not eliminate the professional responsibility of healthcare providers.

4.3 Product liability

Manufacturers may face liability where neural devices contain:

Defective stimulation software.

Inadequate safety mechanisms.

Poor cybersecurity protections.

Unreasonably dangerous design.

Misleading safety representations.

The Consumer Protection Act, 2019 provides a statutory framework for product liability, subject to its applicable requirements.

4.4 Data protection and privacy liability

Neural data may reveal information that ordinary personal data cannot readily disclose.

Examples include inferred emotional responses, attention levels, neurological conditions and cognitive patterns.

A company that collects neural recordings for medical treatment but subsequently uses them for targeted advertising without an appropriate legal basis may face data-protection and consumer-law consequences.

4.5 Criminal liability

Criminal liability may arise where the manipulation involves intentional injury, fraud, coercion, unauthorised access, intimidation or another offence recognised by law.

An important distinction is that a person should not be criminally convicted merely because an AI system generated an unusual neural or behavioural output. The prosecution must establish the legally required elements of the offence.

5. Important Judicial Decisions and Case Laws

The following decisions provide the principal legal foundations. Some directly concern neurological testing or neurotechnology; others establish analogous constitutional, privacy and medical-negligence principles.

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

Directly relevant to neural testing

Court: Supreme Court of India.

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

Judgment: The Supreme Court held that involuntary administration of these techniques violated constitutional protections under Articles 20(3) and 21.

Legal principles:

Protection against compelled testimonial responses.

Mental privacy and personal liberty.

Protection against involuntary interference with cognitive processes.

Requirement of legally valid consent.

Application: This decision is highly relevant to deep-neural manipulation. If investigators or private organisations use neural technology to extract information or interfere with cognitive processes without valid consent, the constitutional principles in Selvi may become applicable.

However, the judgment does not establish that every form of neural stimulation or neurotechnology is prohibited.

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

Constitutional privacy foundation

Court: Supreme Court of India, nine-judge bench.

Facts: The case concerned whether the right to privacy was protected as a fundamental right under the Indian Constitution.

Judgment: The Court unanimously recognised privacy as a fundamental right, deriving protection from Article 21 and the broader constitutional guarantees.

Legal principles:

Informational privacy.

Individual autonomy.

Human dignity.

Personal liberty.

Decisional freedom.

Application: Neural recordings and cognitive profiles can disclose deeply personal information. Their unauthorised collection or exploitation may therefore raise serious privacy concerns.

The judgment supplies a constitutional foundation for protecting neural information, although it did not specifically decide a neurotechnology dispute.

Case 3. Samira Kohli v. Dr. Prabha Manchanda (2008) 2 SCC 1

Court: Supreme Court of India.

Facts: The dispute concerned medical treatment performed without obtaining adequate consent for the additional procedure.

Judgment: The Supreme Court explained the requirements of valid informed consent in medical treatment.

Legal principles:

Consent must be voluntary.

The patient must receive adequate information.

Consent for one procedure does not automatically authorise another.

Medical intervention must remain within the scope of valid consent, subject to recognised exceptions.

Application: A patient agreeing to a neurological implant for treating a medical condition does not necessarily consent to its use for experimental cognitive enhancement, behavioural research or commercial neural-data collection.

Case 4. Jacob Mathew v. State of Punjab (2005) 6 SCC 1

Court: Supreme Court of India.

Facts: The case examined the legal standards for criminal medical negligence.

Judgment: The Court discussed the requirement of gross negligence for criminal liability against medical professionals.

Legal principles:

Professional duty of care.

Breach of the required standard of care.

Distinction between civil and criminal negligence.

Need for appropriate evidence of negligence.

Application: A doctor who negligently programs an AI-assisted neural implant may face civil liability. Criminal liability, however, requires satisfaction of the applicable criminal-negligence standard.

Case 5. R. Rajagopal v. State of Tamil Nadu (1994) 6 SCC 632

Court: Supreme Court of India.

Facts: The case concerned privacy and publication of personal information without proper justification.

Judgment: The Court recognised the right to privacy and addressed limits on unauthorised publication of private information.

Application: A neurotechnology company that discloses an individual's neural recordings, cognitive profiles or medical information without lawful justification may face privacy-related claims.

Case 6. Girardi v. Emotiv – Supreme Court of Chile (2023–2024)

Important international neurotechnology precedent

Court: Supreme Court of Chile.

Facts: The dispute concerned the handling of brain-related data collected through an Emotiv consumer neurotechnology device and the protection of neural information.

Judgment: The Chilean Supreme Court addressed the protection of neural data and the constitutional implications of neurotechnology. It ordered protective measures concerning the processing and storage of the relevant brain data.

Legal significance:

Neural information deserves heightened protection.

Brain-related information raises concerns beyond ordinary commercial data.

Neurotechnology companies must respect constitutional rights.

Consent and control over neural information are central regulatory concerns.

Application: This case is particularly important for understanding the liability of businesses that collect, process or commercially exploit neural data.

It is a Chilean judgment, not binding precedent in India, but it provides a valuable comparative model.

Case 7. Maharaja Agrasen Hospital v. Master Rishabh Sharma (2019)

Court: Supreme Court of India.

Legal principle: Medical negligence, informed consent, causation and vicarious liability.

The Court discussed the requirements for establishing medical negligence, including professional duty, breach, injury and causal connection.

Application: Where a hospital deploys an AI-powered neural device negligently and the patient suffers neurological injury, the principles governing medical negligence may help determine the hospital's liability.

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Case 8. Jacob Mathew v. State of Punjab (2005) 6 SCC 1

This decision is particularly important when determining whether a medical professional's conduct amounts to criminal negligence rather than an ordinary error of judgment.

Application: A neurologist or neurosurgeon cannot automatically be held criminally responsible for every unexpected outcome of neural stimulation. The prosecution must establish the applicable degree of negligence and other statutory requirements.

Case 9. Girardi v. Emotiv Inc. (2023), Rol No. 105.065-2023

This deserves special attention because it is a genuine dispute involving a commercially available brain-monitoring device.

The Chilean Supreme Court recognised concerns involving privacy, physical and psychological integrity and informed consent in the commercial handling of brain-activity data.

It ordered the deletion of the relevant stored information and required regulatory authorities to examine the device's commercialisation and use.

Application: This decision provides an important comparative precedent for future litigation involving consumer brain-computer interfaces, neural-data collection and unauthorised exploitation of cognitive information.

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6. International Legal Framework

A. European Union – General Data Protection Regulation

The GDPR provides protection for personal data, including health-related information and other special categories of personal data.

Relevant provisions include:

Article 5 – Principles of personal-data processing.

Article 6 – Lawfulness of processing.

Article 9 – Special categories of personal data.

Article 22 – Certain decisions based solely on automated processing.

Article 25 – Data protection by design and by default.

Article 32 – Security of processing.

For example, an organisation collecting EEG recordings and using AI to infer mental-health conditions may have to satisfy the GDPR's requirements for processing sensitive personal data.

B. UNESCO Recommendation on the Ethics of Neurotechnology

UNESCO adopted its Recommendation on the Ethics of Neurotechnology in November 2025.

It provides an international normative framework addressing human dignity, mental privacy, autonomy, informed consent and responsible neurotechnology development.

It is a recommendation rather than a binding international treaty. Nevertheless, it can guide national legislation and regulatory policy.

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C. International neurorights framework

Five important rights are frequently discussed in contemporary neurotechnology scholarship:

Mental privacy.

Cognitive liberty.

Mental integrity.

Personal identity.

Fair access to cognitive enhancement.

These concepts help explain why neural interference may require protections beyond conventional data privacy.

7. Determining Liability: Who Is Responsible?

Deep-neural manipulation frequently involves several organisations. Responsibility should therefore be determined according to each participant's actual role.

Importantly, liability is not automatically shared equally. Courts must examine the applicable legal duty, breach, causation, statutory responsibility and available defences.

8. Evidence and Proof in Deep-Neural Manipulation Litigation

One of the biggest difficulties is establishing that the alleged manipulation actually occurred and caused the claimed injury.

Relevant evidence may include:

1. Neural recordings: EEG, neural signal histories and brain-monitoring records.

2. Device logs: Stimulation frequency, intensity, duration and programming history.

3. Software records: Algorithm versions, system updates and technical configuration.

4. Medical evidence: Neurological assessments, psychological evaluations and clinical reports.

5. Consent documentation: Treatment consent, research consent and data-processing permissions.

6. Expert testimony: Neurologists, neurosurgeons, biomedical engineers, AI specialists and forensic experts.

A particularly important distinction is between correlation and causation. A change in brain activity following the use of a device does not, by itself, establish that the device caused the change.

Courts may require expert evidence explaining the mechanism, timing, alternative causes and scientific reliability of the alleged interference.

9. Defences Available to the Accused

Potential legal defences include:

Valid and informed consent.

Absence of a legally recognised injury.

Lack of causation.

Compliance with applicable professional standards.

Unforeseeable technical failure.

Independent intervening causes.

Absence of the required criminal intention or negligence.

Lawful therapeutic necessity in appropriate circumstances.

However, a signed consent form does not automatically protect a company or medical professional against liability for negligent conduct, undisclosed material risks or conduct outside the scope of consent.

10. Major Legal Challenges

Several unresolved problems complicate this area of law.

A. Invisible neural interference: Neural activity may be difficult to interpret and distinguish from ordinary neurological variation.

B. Algorithmic opacity: Developers may be unable to explain precisely why an AI system produced a particular intervention.

C. Distributed responsibility: The manufacturer, hospital, software developer and cloud provider may operate in different jurisdictions.

D. Mental autonomy: Traditional privacy law does not always adequately address manipulation of mental processes without disclosure of information.

E. Scientific causation: Establishing a direct causal connection between neural stimulation and behavioural changes can be technically difficult.

F. Consent limitations: Patients may not understand the long-term implications of neural implants, adaptive algorithms or continuous neural monitoring.

11. Suggestions for Legal and Regulatory Reform in India

India could develop a dedicated regulatory framework for high-risk neurotechnology.

The following reforms deserve consideration:

1. Neural-data protection: Recognise neural recordings and sensitive cognitive inferences as requiring heightened protection.

2. Mandatory informed consent: Require specific consent for neural stimulation, research participation, data sharing and commercial exploitation.

3. AI safety certification: Introduce appropriate safety testing and certification for high-risk neural devices.

4. Independent audits: Require technical audits of algorithms controlling neural stimulation.

5. Clinical accountability: Establish clear professional standards for programming, monitoring and maintaining neural implants.

6. Cybersecurity obligations: Require manufacturers to protect connected neural devices against unauthorised access and interference.

7. Compensation mechanisms: Develop accessible remedies for victims of defective neural devices and unlawful neural-data exploitation.

8. Cross-border enforcement: Clarify responsibility where manufacturers, software developers and data processors operate in different countries.

9. Protection of children: Introduce additional safeguards against non-therapeutic cognitive monitoring and manipulation of minors.

10. Human oversight: Ensure that consequential neural interventions remain subject to appropriate human supervision.

12. Conclusion

Deep-Neural Manipulation Liability represents an emerging legal challenge at the intersection of neuroscience, artificial intelligence, constitutional law, medical negligence and data protection.

Indian constitutional jurisprudence, particularly Selvi v. State of Karnataka and Justice K.S. Puttaswamy v. Union of India, provides important foundations for protecting mental privacy, individual autonomy and personal liberty.

The Chilean Supreme Court's decision in Girardi v. Emotiv is especially significant because it addresses the legal protection of information generated by a consumer neurotechnology device.

Nevertheless, there is presently no established standalone Indian cause of action specifically titled deep-neural manipulation. Liability must be established through applicable constitutional, criminal, civil, medical, consumer and data-protection laws.

The fundamental legal principle should be that technological access to the human brain must not become unrestricted legal authority to control, exploit or interfere with an individual's mental processes.

13. Important Legal Authorities – Quick Reference

Important legislative reference: The Digital Personal Data Protection Act, 2023 and DPDP Rules, 2025 have a staggered commencement schedule. They should not be described as having all substantive obligations operational simultaneously.

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Further research: The distinction between direct neural interference, AI-mediated behavioural influence and unauthorised neural-data processing will be crucial in developing a coherent Indian liability doctrine.

For primary research, the most useful judgments to study first are Selvi, Puttaswamy, Samira Kohli and Girardi v. Emotiv.