Author(s): Anjali & Akanksha
Paper Details: Volume 4, Issue 5
Citation: IJLSSS 4(5) 37
Page No: 487 – 498
ABSTRACT
Artificial Intelligence (AI) is a technology that has become revolutionary and can be effectively applied in healthcare, education, governance, banking, commerce, communication and governing popularly. Although AI has many positive social and economic uses, its growing use of mass data collection, algorithmic processing, biometrics technologies, profiling, automated decision-making, generative AI and deepfakes has provided unprecedented threats to privacy, dignity, autonomy and individual rights. It is against this backdrop that this research will explore the main dilemma of the need to strike the right balance between technological innovation and good protection of individual privacy in India. This paper will discuss the connection between AI and the constitutional right to privacy, evaluate the sufficiency of the current legal and regulatory framework, explore the emergent privacy risks, evaluate the judicial approach to privacy, and suggest a rights-based framework of responsible AI governance. The study follows both a doctrinal and qualitative legal approach, basing on constitutional provisions, legislation, rules, judicial decisions, government documents, policy documents and the available scholarly literature. It is evident that India has significant constitutional and statutory protections, as the study reveals. Nevertheless, there are still notable gaps regarding the transparency of algorithms, their explainability, automatic decision-making, biometric surveillance, inferences made by AI, deepfakes, discrimination, and responsibility apportionment of harms related to AI. The study contends that conservation of privacy is not a barrier to technological innovations, but rather the key to reliable technological advancement. It concludes that India needs a clear, transparent, flexible, and risk-based AI governance framework (which should use privacy by design and data minimisation) with human accountability, algorithmic accountability, and enhanced regulatory capacity, citizen awareness, and international co-operation to make sure that AI development remains consistent with dignity, liberty, autonomy, equality, and informational privacy.
Keywords: Artificial Intelligence, Right to Privacy, Data Protection, Individual Rights, Technological Innovation.
1. INTRODUCTION
One of the most radical technologies of the twenty-first century is the Artificial Intelligence (AI). The applications of AI-based systems are being utilized more in healthcare, education, banking, governance, policing, transportation, commerce, communication, and entertainment. Machine learning, facial recognition, natural language process, predictive analytics, generative AI, and automated decision-making have introduced new potentials on how efficiency, cost reduction, aiding decision-making, and providing personalised services can be enhanced. The high pace of AI development, however, has also created an enhanced concern about privacy and the individual rights.[1]
It has become a different problem with the emergence and advancement of generative AI and deepfake technologies. Now AI is capable of producing convincing images, audio and video as well as altering existing content in a manner that it might be hard to notice that it has been altered. This kind of technology can be utilized to defraud, pervert identities, formulate non-consensual intimate images or images, misinformation or reputation. Equally, facial recognition and predictive analytics could facilitate broad surveillance and profiling, and automated decision-making could influence access to work, credit, healthcare, education or to a government service.
2. RESEARCH OBJECTIVES
The study seeks to:
- investigate the existence of connections between Artificial Intelligence and the right to privacy in India;
- examine the suitability of the current constitutional, legislative and regulatory framework on privacy issues related to AI;
- identify new privacy concerns related to AI, such as profiling, biometric surveillance and automated decision-making, deepfaking, and generative AI;
- study the legal strategy of privacy and its applicability to the regulation of AI; and
- propose a rights-based system that can strike a balance between AI innovation and privacy, dignity and autonomy of the individual.
3. RESEARCH METHODOLOGY
The study follows a doctrinal research approach of law. It is mainly based on the Constitution of India, laws, regulations, case law, government papers, policy books, scholarly works and other secondary legal authorities. The landmark court cases addressing the issue of privacy, surveillance, informational “autonomy and digital rights are critically examined. The paper discusses the Information Technology Act, 2000, the Digital Personal Data Protection Act, 2023, the Information Technology Rules, and new AI governance efforts to find gaps in the law and discuss relevant reforms.
4. CONCEPT OF PRIVACY IN THE DIGITAL AND AI ERA
Human dignity and personal freedom is a fundamental aspect of privacy. Historically, the idea of privacy was taken to refer basically to defend against corporeal encroachment into an individual home, body, family life, correspondence or personal matters.
4.1 MEANING AND SCOPE OF PRIVACY
Within the digital context, privacy entails the privacy right to regulate access and use of personal information. It includes the defence against unjustified gathering, handling, sharing, store and distribution of individual information. Privacy safeguards autonomy of choice as well since it enables one to choose what to do without any unwarranted interruptions.
AI adds the value of privacy since data that might seem innocuous when taken individually might have sensitive values when united with other sets of data. As an illustration, information on location, the manner of browsing, buying behaviour, and use of social-media could be a collection of activity that may display the preferences and behaviour of a person, as well as, his/her relationships or weaknesses.
4.2 INFORMATIONAL PRIVACY
Informational privacy deals with the capability of an individual to have material control over information about him/her. It consists of who gathers information, why information is gathered, how this information is processed, how long it is stored and with whom this information is shared.
It poses special challenges to the AI since the information alone can be utilized to not only recognize an individual but also make a forecast about them. An AI can make inferences based on seemingly extraneous information. Therefore, the concept of privacy protection should not limit itself to the information that has been directly given by an individual but also extend to the information, that has been produced based on the algorithmic inference.[2]
5. CONSTITUTIONAL RIGHT TO PRIVACY IN INDIA
Privacy is a fundamental right that is not explicitly used in the Indian Constitution. However, smatterings of constitutional jurisprudence has acknowledged the notion of privacy as an inherent element of Article 21 as well as other fundamental freedoms.[3]
5.1 ARTICLE 21
Article 21 states that the procedure according to which the person may lose life or personal liberty should be defined by a law. By expanding court interpretations, the meaning of life and individual liberty had been extended to the idea of dignity, autonomy as well as other terms necessary to qualify meaningful human lives.
Article 21 is especially important to State use of facial recognition, biometric databases, predictive policing, surveillance systems, and processing of massive amounts of data in the AI era.
5.2 JUSTICE K.S. PUTTASWAMY (RETD.) V UNION OF INDIA [4]
This case ruling is the basis of modern Indian privacy law. This was unanimously accepted by a nine-judge Constitution bench which recognised privacy as a constitutionally guaranteed fundamental right.
The Court interrelated privacy to dignity, liberty, autonomy, and a choice. It also identified informational privacy as significant aspect of privacy. This decision is of specific concern to AI since the operation of an AI system is likely to entail a lot of gathering, processing, and inferencing of personal data.
The court decision also determined that privacy was not an absolute right. There has to be a constitutional test met such as: being legal, a valid purpose of the State, necessity, and proportionality.
5.3 LEGALITY, NECESSITY AND PROPORTIONALITY
The doctrine of legality demands that interference of privacy should be well establishment on the legal front. Necessity requires that the interference has to be related to a valid purpose and the interference must not be unreasonable. Proportionality entails that there must be a reasonableness in the goal being entailed and the extent of encroachment on individual rights.[5]
These are especially important to consider with regard to AI-based surveillance by the State. Surveillance of the citizens cannot be justified by the availability of potent technology on its own. Similar to a less invasive approach to realize a valid end, disproportionate data gathering or monitoring could violate the proportionality criterion.
6. AI AND EMERGING PRIVACY CONCERNS
6.1 MASS DATA COLLECTION
The artificial intelligence systems consume a lot of data to be trained and used. Mass collection poses threats of over-processing, reuse, unauthorized access and individual control is not attained. The problem is aggravated in the case when people are ignorant of what information is being gathered and further use afterwards.
6.2 FACIAL RECOGNITION AND BIOMETRIC SURVEILLANCE
Biometric technologies like facial recognition, fingerprint recognition, iris scanning and voice recognition, among others, are able to detect individuals with a reasonable amount of effectiveness. Nevertheless, biometric information is also sensitive as it can be directly related to the identity of a person and it can hardly be replaced after breach.
Mass biometric monitoring can thus pose grave consequences on privacy, anonymity, freedom of movement and autonomy.
6.3 AI PROFILING AND BEHAVIOURAL PREDICTION
AI is able to examine the existence of online records to develop in-depth profiles and anticipate behaviour. Profiling may have impact on advertising, insurance, employment, credit among other decisions. The harm between prediction and reality in algorithmic might be misguided, discriminatory or applied without substantive understanding of the victim.
6.4 DEEPFAKES AND IDENTITY MANIPULATION
Deepfake technology enables any AI-generated or manipulated image, audio, and/or video to look natural. Profane use can violate their privacy and dignity by creating the reproduction of the person without his/her permission. Deepfakes can support impersonation and fraud, harassment, reputational harm, and non-consensual pornography.
6.5 GENERATIVE AI
Generative AI also brings up new issues of training dataset use of personal data, recreation of recognizable individuals, storing of prompts and outputs, and the creation of fake personal data. The technology consequently contests traditional separation of data collection, data processing and creating content.[6]
7. LEGAL FRAMEWORK GOVERNING AI AND PRIVACY IN INDIA
Currently, India does not have an all-encompassing AI statute but instead regulates AI as a mix of constitutional provisions, information technology, information protection, delegated, sectoral and policy measures.
7.1 INFORMATION TECHNOLOGY ACT, 2000
The Information Technology Act, 2000 is a notorious element in the technology-law system in India. Its clauses are concerned with unauthorised access, identity-related crime, electronic malpractice and some types of privacy-related abuse.
Section 43A pre-emptionally covered negligent failure by a body corporate in respect of sensitive personal data arising and will uphold reasonable security practices whereas Section 72A covers the information disclosure in breach of a lawful contract. The Act can thus apply in unauthorized access, identity manipulation, or abuse of digital information in cases that have AI technologies involved.
But in passing the Act, they did not anticipate the current innovation of digit-inspired AI and enhanced machine-learning tools. It does not, therefore, fully cover algorithmic accountability or even risks unique to AI.[7]
7.2 DIGITAL PERSONAL DATA PROTECTION ACT, 2023
The main statutory regime of digital personal data in India is the DPDP Act. The given aim of it is to balance processing taking into account the individual interest in preserving personal data, as well as the necessity to process this type of data without violating the law.
The Act defines the terms Data Principal and Data Fiduciary, sets up grounds of processing, consent and notice regulation, establishes duties to security and children data, grants rights to individuals (access, correction and erasure) and builds the Data Protection Board of India.
AI has a lot to do with the Act since the development of AI often implies the use of personal data. Nevertheless, it is not a complete AI governance legislation. Concerns about explainability of algorithms, AI bias, accountability of their models, and automated decision-making need further consideration.[8]
7.3 DIGITAL PERSONAL DATA PROTECTION RULES, 2025
One of the most important changes since the enactment of the DPDP Act is notification of the Digital Personal Data Protection Rules, 2025 dated 14 November 2025. The Ministry of Electronics and Information Technology has also issued the schedule of enforcement and the document regarding the setting up of Data Protection Board of India.
Notably, the DPDP Act is not implemented with simultaneity, but in phases. India Code documents that in the case of some provisions, they began on 13 November 2025, and several substantive provisions will begin eighteen months following the date. This transitional status plays an effective role in assessing the current performance of the data-protection regime in India.[9]
7.4 CONSTITUTIONAL SAFEGUARDS
Protection under the constitution still stands. Article 21 upholds privacy, and Articles 14 and 19 might apply in cases where AI systems deliver arbitrary, discriminatory or disproportionate outcomes or meddle with constitutionally safeguarded freedoms.
8. JUDICIAL APPROACH AND LANDMARK CASES
8.1 JUSTICE K.S. PUTTASWAMY (RETD.) V UNION OF INDIA [10]
Justice K.S. Puttaswamy (Retd.) versus Union of India. This ruling by nine judges was unanimous in that privacy was a necessary right. It laid its constitutional grounding on the informational privacy, autonomy, dignity, and safeguard against arbitrary interruption.
8.2 PEOPLE’S UNION FOR CIVIL LIBERTIES V UNION OF INDIA [11]
Telephone interception came before the Supreme Court and the privacy of communication had been realised as a result of monitoring in the Supreme Court. The ruling undertook precautions against the choices to intercept arbitrarily and applies to contemporary AI surveillance systems.
8.3 SHREYA SINGHAL V UNION OF INDIA [12]
The Court quashed the Section 66A of the Information Technology Act, 2000 as being a breach of the freedom of speech and expression. The case indicates that control of digital technologies should not contradict the implementation of the basic rights.
8.4 K.S. PUTTASWAMY (RETD.) V UNION OF INDIA — AADHAAR CASE [13]
The Aadhaar decision took into account the constitutional aspects of gathering and using biometric and demographic data. The proportionality in the application of AI systems is especially pertinent in case of biometric identification and large databases.
9. BALANCING AI INNOVATION AND INDIVIDUAL RIGHTS
Innovation and privacy should not be considered to be mutually exclusive, rather the correct legal choice is to approach them as complementary.
9.1 BENEFITS OF AI
AI has the potential to enhance governance through serving the public authorities by helping them with other data analyses and service provision. AI can assist in the medical fields of diagnosis, medical research and individualised therapy. It has the potential in learning to provide individualisation and accessibility. AI is applicable in business to detect fraud, serve customers, logistics and predict the demand.
9.2 RESPONSIBLE INNOVATION
Legal and ethical protection should be an accompaniment of innovation. The concept of responsible innovation obliges developers and deployers to take into account the privacy, security, discrimination, and human-rights concerns across the AI lifecycle.[14]
9.3 ACCOUNTABILITY
Deployers and developers of AI ought to be responsible to the systems that they design or run. Appropriate testing, documentation, security, impact evaluations, monitoring and grievance should be part of responsibility.
9.4 HUMAN OVERSIGHT
Where AI systems constitute high-impact decisions, human supervision is crucial. Human review, correction and challenge where automated judgments relate to some right or interest of an individual should have meaning.[15]
10. CRITICAL ANALYSIS
There has been a lot of development in the Indian legal framework in appreciation of the recognition of privacy as a constitutional and statutory issue. However, the framework is not complete when it can be applied to the peculiarities of AI.
To begin with, the current data-protection laws are mainly used to oversee personal-data processing, but AI has the potential to produce new data and inferences based on the data. It can hence happen that an individual can suffer privacy loss even in situations whereby the initial use of the data was done lawfully.
Second, transparency and explainability of algorithms are not fully regulated by the law. An automated decision affected person might not be able to comprehend the process of decision production and contest the model involved.
Third, AI has the potential to increase the current bias with discriminative datasets and robots. Traditional privacy law, however, might not be sufficient to deal with this issue since discrimination cannot necessarily be synonymous with unauthorised data processing.
Fourth, enforcement is very challenging. The AI systems can include the developers, deployers, cloud providers, data suppliers and platforms that can be running in various jurisdictions. Identifying the party liable in the case of an artificial intelligence-created injury may be complicated, therefore.
Fifth, the lack of a single inclusive statute on AI in India brings about flexibility and uncertainty. A strict law would soon be obsolete, yet overuse of disjointed laws, can create loopholes in the regulation rules.
11. SUGGESTIONS AND RECOMMENDATIONS
11.1 DEVELOP A COMPREHENSIVE AI GOVERNANCE FRAMEWORK
India needs to come up with holistic, adaptable and risk-based AI governance framework. It will need to specify the roles of developers, deployers, platforms and other interested parties and high-risk AI, accountability in algorithms, transparency, deepfakes, biometric surveillance and AI-generated content.
11.2 STRENGTHEN PRIVACY BY DESIGN
The aspect of privacy would be integrated into AI systems during the design phase. The developers must embrace data minimisation, the purpose limitation, the security protection, the privacy impact assessment and proper use of anonymisation technique.
11.3 STRENGTHEN REGULATORY CAPACITY
Specialised technical skills in AI, cybersecurity, and data science, and algorithmic auditing should also be developed by regulatory bodies. Regulators, experts in technology, scholars and civil society should be encouraged to work together.
11.4 PUBLIC AWARENESS
There should be an empowerment of the AI and digital literacy. People are to be aware of the dangers of data gathering, profiling, deepfakes, generative AI and impersonating online. Mechanisms of redressal of grievance accessible should also be made.
11.5 INTERNATIONAL COOPERATION
The systems of AI have no boundaries. India needs to work internationally on the AI safety, cybercrime, data protection, deepfakes, evidence across borders, and the standards of common governance. It is particularly critical in terms of international engagement in case the hateful AI-produced content has an external location in India.
12. CONCLUSION
Avenues to social and economic development are gigantic with Artificial Intelligence. It is able to revolutionize healthcare, education, government, business, scientific studies and administration of people. Nevertheless, all these advantages have come with unprecedented privacy threats brought about by mass data gathering, bio-metric monitoring, automated decision-making, generative inventions, and deepfakes.
India has been able to come up with some major constitutional and statutory security. This is supported by the acknowledgment of privacy as a basic right in Justice K.S. Puttaswamy (Retd.) v Union of India and the Information technology act 2000 and the digital personal data protection act 2023 offers helpful mechanisms. The Digital Personal Data Protection Rules, 2025 notification and Data Protection Board, which is created, is another step in the process of implementing the Indian system of data-protection.
However, existing laws are not a complete solution as AI poses unique challenges. Algorithms that are opaque, AI-based decisions, biometric surveillance, AI inferences, deep fakes and accountability of the complex AI systems all need development of law and institutions.
Protection of privacy should not be taken as a hindrance towards technological innovation. Instead, privacy may be a basis of trustful and viable innovation. The AI systems, which honor the rights of the individual, are likely to gain the trust of society and become a long-term legitimate institution.
India needs a rights based transparent, accountable and risk sensitive AI governance. The central aspect of this approach should be privacy by design, data minimisation, accountability of algorithms, human control, good regulation, institutional capabilities, popular knowledge, and international collaboration.
The end problem is not to either be innovative or be private but to find a solution that the technological development will occur within the confines of the constitution. AI must not be a weapon of human evolution but it must become a device to uncontrolled monitoring, to manipulation or destruction of personal sovereignty. The kind of AI governance required in India in the future should then be informed by the fact that innovation can only be sustainable when it does not override or challenge dignity, liberty, autonomy, equality, and informational privacy.
[1] Pavan Duggal, Artificial Intelligence Law (Universal Law Publishing 2018).
[2] M.P. Jain, Indian Constitutional Law 121–129 (8th ed. 2018).
[3] Justice K.S. Puttaswamy (Retd.) v. Union of India, (2017) 10 SCC 1 (India).
[4] (2017) 10 SCC 1.
[5] Gautam Bhatia, The Transformative Constitution: A Radical Biography in Nine Acts 208–14 (HarperCollins India 2019).
[6] Ministry of Electronics & Information Technology, National Strategy on Artificial Intelligence (2018).
[7] Ministry of Electronics & Information Technology, India AI: National Programme on Artificial Intelligence (2024); NITI Aayog, Responsible AI for All: Adopting the Framework—A Use Case Approach on Facial Recognition Technology (2021).
[8] NITI Aayog, Responsible AI for All: Adopting the Framework—A Use Case Approach on Facial Recognition Technology 23–30 (2021).
[9] Digital Personal Data Protection Act, No. 22 of 2023, Section 1, Acts of Parliament, 2023 (India).
[10] (2017) 10 SCC 1.
[11] (1997) 1 SCC 301.
[12] (2015) 5 SCC 963.
[13] (2019) 1 SCC 1.
[14] NITI Aayog, Responsible AI for All: Adopting the Framework—A Use Case Approach on Facial Recognition Technology 23–30 (2021).
[15] N.S. Gopalakrishnan & T.G. Agitha, Principles of Intellectual Property (Eastern Book Co. 2d ed. 2014).