Digital rights management for neural applications

Introduction

Digital rights management (DRM) for neural applications refers to the legal, technical and institutional mechanisms used to control access, use, reproduction, distribution and modification of digital content and information generated through neurotechnology. Neural applications include brain-computer interfaces (BCIs), neural implants, neurological monitoring systems, cognitive assessment software and artificial intelligence platforms that analyse brain activity.

These technologies may collect neural signals, process cognitive information and generate data relating to an individual's neurological condition, behaviour and mental activities. Such information has significant medical and commercial value but also creates concerns involving mental privacy, intellectual property, cybersecurity, informed consent and individual autonomy.

DRM in this context must therefore address two different interests: protecting the intellectual property of developers and ensuring that individuals retain appropriate control over their personal neural information.

Legal and regulatory framework in India

India does not currently have a separate statute specifically governing digital rights management for neural applications. However, existing intellectual property, data protection and medical device laws provide relevant legal foundations.

1. Copyright Act, 1957

The Copyright Act protects original literary, artistic and computer-generated works, including qualifying software and digital content used in neural applications.

Section 14 establishes the exclusive rights of copyright owners, while Section 65A addresses circumvention of effective technological measures applied for protecting copyright.

For example, a company developing proprietary software for interpreting brain signals may use technological restrictions to prevent unauthorised copying or modification of its copyrighted software.

However, copyright in software does not automatically establish ownership over the neural information generated by patients.

2. Digital Personal Data Protection Act, 2023

The DPDP Act regulates the processing of digital personal data. Neural recordings, cognitive profiles and brain activity information may fall within its scope when they identify or relate to identifiable individuals.

Organisations operating neural applications must consider applicable requirements concerning lawful processing, consent or other permitted grounds, security safeguards and individual rights.

Digital rights management should not be used to prevent individuals from exercising rights available under applicable data protection law.

3. Information Technology Act, 2000

The Information Technology Act addresses unauthorised access, data-related offences and electronic records.

Sections 43 and 66 may become relevant where neural databases, brain-computer interface software or connected medical systems are accessed or manipulated unlawfully.

4. Medical Devices Rules, 2017

Neural implants, neurological monitoring equipment and certain brain-computer interface devices may fall within the medical device regulatory framework depending on their intended purpose and classification.

Manufacturers must comply with applicable licensing, quality, safety and performance requirements.

5. Consumer Protection Act, 2019

The Consumer Protection Act may become relevant where neural application providers engage in misleading representations, unfair contractual practices or deficiencies in services.

For example, a company cannot avoid responsibility for misleading claims merely by including restrictive terms in its software licence.

Major functions of digital rights management in neural applications

1. Access control and user authentication

Neural applications may contain confidential medical records, brain activity measurements and proprietary algorithms.

Access control systems help ensure that only authorised users can access relevant information. Authentication mechanisms may include passwords, multi-factor authentication and role-based permissions.

2. Protection of neural datasets

DRM systems can restrict unauthorised copying, downloading, modification or redistribution of neural datasets.

However, restrictions must distinguish between proprietary research material and personal information belonging to or relating to individuals.

3. Software licensing and intellectual property protection

Manufacturers may use software licences to control the commercial distribution and use of proprietary neural application software.

Licensing agreements should define permitted users, usage conditions, modification rights, commercial restrictions and responsibilities for security.

4. Protection against unauthorised neural data extraction

Brain-computer interfaces may transmit neural information to connected computers, cloud platforms or research databases.

Technical safeguards should prevent unauthorised extraction, disclosure and secondary commercial use of neural information.

5. Control over artificial intelligence models

Neural applications may use machine-learning models trained on neurological datasets.

DRM and contractual arrangements can protect proprietary model architecture, software and licensed datasets. However, developers must also address privacy obligations and the rights of individuals whose information was used in training.

Ethical restrictions and individual autonomy

DRM should not become a mechanism for controlling individuals' access to their own neural information or essential medical functions.

For example, a manufacturer should not use software restrictions to prevent a patient from accessing necessary clinical information or receiving appropriate medical support.

Important ethical principles include:

Respect for mental privacy and personal autonomy.

Transparent consent for neural data collection.

Clear disclosure of commercial data usage.

Appropriate access to personal medical information.

Protection against unauthorised behavioural profiling.

Security of connected neural devices.

Fair and transparent software licensing.

Where a neural application is used for medical treatment, restrictions must also be assessed against patient safety and applicable healthcare obligations.

International legal framework

1. General Data Protection Regulation (GDPR)

The GDPR protects personal data processed within its scope. Article 9 provides additional protection for special categories of personal data, including genetic data and health data. Biometric data receives this treatment when processed for uniquely identifying a person.

Neural information may qualify as health data or other personal data depending on its content and use.

2. World Intellectual Property Organization Copyright Treaty, 1996

The WIPO Copyright Treaty requires contracting parties to provide legal protection against certain acts of circumvention of technological measures used by authors to protect their rights.

This is relevant to DRM systems protecting copyrighted neural application software and digital research content.

3. OECD Recommendation on Responsible Innovation in Neurotechnology, 2019

The OECD recommendation promotes responsible innovation, privacy protection, safety, inclusiveness and accountability in neurotechnology.

4. UNESCO Recommendation on the Ethics of Artificial Intelligence, 2021

This framework emphasises human dignity, transparency, accountability and human oversight in AI applications, including systems that may process sensitive neurological information.

Important case laws

Direct Indian judicial decisions specifically addressing DRM for neural applications are not yet established. However, several judgments provide important principles concerning digital rights, privacy, software protection and mental autonomy.

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

The Supreme Court examined the constitutionality of involuntary narcoanalysis, polygraph examinations and brain electrical activation profile tests.

The Court recognised constitutional protections against involuntary extraction of personal knowledge through these techniques.

This judgment is particularly relevant to neural applications because it establishes important principles concerning mental privacy, personal autonomy and protection against compelled neurological examination.

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

The Supreme Court recognised privacy as a fundamental right under Article 21.

The judgment discussed informational privacy and personal autonomy. Its principles are relevant to DRM systems because restrictions on neural information must respect individual privacy and lawful control over personal data.

3. Eastern Book Company v. D.B. Modak (2008) 1 SCC 1

The Supreme Court clarified the originality requirement for copyright protection.

The judgment is relevant to neural software and digital datasets because original software, technical documentation and creative database arrangements may qualify for copyright protection, subject to statutory requirements.

4. Shreya Singhal v. Union of India (2015) 5 SCC 1

The Supreme Court struck down Section 66A of the Information Technology Act, 2000, because it violated constitutional protections relating to freedom of expression.

The decision illustrates that restrictions imposed through digital systems must remain consistent with constitutional requirements.

5. Sony Corp. of America v. Universal City Studios, Inc. (1984) 464 U.S. 417

The United States Supreme Court considered copyright liability concerning technology capable of substantial non-infringing uses.

The judgment provides comparative guidance for neural application technologies because software and digital systems may have legitimate uses even when they can also facilitate unauthorised copying.

These decisions establish broader principles rather than direct judicial rules for neural application DRM.

Regulatory challenges and legal liability

DRM systems for neural applications create several legal challenges.

First, intellectual property protection may conflict with patient access to medical information. Second, manufacturers may use restrictive software licences that limit independent research or interoperability.

Third, neural data may be shared between hospitals, software providers and research institutions, creating uncertainty about responsibility for unauthorised access.

Fourth, cybersecurity restrictions may interfere with device functionality if updates or access controls are poorly designed.

Manufacturers and service providers should establish clear licensing agreements, transparent data policies, secure access mechanisms and procedures for handling security incidents.

They should also ensure that intellectual property restrictions do not interfere with patient safety, applicable data protection rights or legitimate medical access.

Conclusion

Digital rights management for neural applications is an emerging legal area involving intellectual property, data protection, cybersecurity and neurological autonomy. India's Copyright Act, 1957, Digital Personal Data Protection Act, 2023, Information Technology Act, 2000 and Medical Devices Rules, 2017 provide important regulatory foundations. Judicial decisions such as Selvi, Puttaswamy and Eastern Book Company establish relevant principles concerning mental privacy, personal autonomy and copyright protection. Although direct Indian case law on neural application DRM remains limited, existing legal principles support a framework that protects proprietary technology without compromising individual rights. Effective governance requires secure access controls, transparent licensing, responsible data processing and meaningful patient autonomy.