AI in Surveillance: Balancing Security and Civil Liberties

Artificial Intelligence (AI) has become one of the most influential technologies of the 21st century. Its applications are now seen in healthcare, education, finance, and even governance. Among its many uses, AI in surveillance has gained significant attention, particularly in countries like India where public safety and digital governance are priorities. From facial recognition cameras in airports to predictive policing systems in urban centres, AI promises to strengthen security.

However, this technological advancement also raises important questions. How much surveillance is too much? Can the state monitor its citizens without violating fundamental rights? Does the use of AI for security purposes undermine the right to privacy, which has been recognised as a fundamental right by the Supreme Court of India? These questions highlight the challenge of balancing security with civil liberties.

What Is AI-Based Surveillance?

AI-based surveillance refers to the use of technologies like machine learning, computer vision, and big data analytics to process and interpret visual or audio data collected through CCTV cameras, drones, biometric systems, and sensors.

Unlike traditional surveillance, where human operators manually monitor footage, AI systems can:

• Recognise faces and objects.
• Track individuals across multiple locations.
• Detect unusual patterns of behaviour.
• Send real-time alerts to authorities.

This makes surveillance faster, smarter, and more efficient, especially in densely populated countries like India.

Advantages of AI in Surveillance

Enhanced Public Safety

AI systems can quickly identify wanted criminals, detect suspicious activity, and track missing persons. For example, facial recognition technology has already been used by Indian police forces to match suspects against criminal databases.

Efficient Investigations

Law enforcement can analyse hours of footage in minutes. This helps reconstruct crime scenes and trace suspects more effectively, improving the overall speed of investigations.

Smart City Development

AI surveillance plays a key role in smart cities, enabling:

• Automated traffic monitoring.
• Detection of traffic violations.
• Emergency response alerts.

Cities like Hyderabad and Delhi are already deploying large-scale AI surveillance to regulate public safety.

Predictive Policing

By analysing past crime data, AI tools can predict hotspots of criminal activity, helping the police allocate resources where they are most needed.

Concerns Around Civil Liberties

While AI surveillance strengthens security, it also creates risks for fundamental rights and democratic freedoms.

Right to Privacy

In Justice K.S. Puttaswamy v. Union of India (2017), the Supreme Court declared the right to privacy as a fundamental right under Article 21 of the Constitution. AI surveillance, especially facial recognition and biometric collection, can undermine this right by tracking citizens without their consent.

Data Protection Gaps

India still lacks a fully mature data protection law. The absence of clear rules means citizens’ biometric and personal data collected through AI systems could be stored indefinitely or misused.

Risk of Misidentification

AI algorithms are not flawless. Studies have shown that facial recognition systems are prone to errors, particularly for women and darker-skinned individuals. Such biases can lead to wrongful arrests or harassment of innocent people.

Chilling Effect on Freedoms

Constant surveillance discourages people from exercising their rights to free speech, peaceful protest, and political participation. If citizens feel they are always being watched, it creates a chilling effect that weakens democracy.

Indian Legal Framework on Surveillance

India does not yet have a dedicated law regulating AI in surveillance. Instead, existing laws indirectly touch upon the subject.

Information Technology Act, 2000

This Act regulates cybersecurity and data protection in digital systems but does not specifically address AI-based surveillance.

Indian Telegraph Act, 1885

This law empowers the government to intercept communications. However, it was designed for telegraphs and phone calls, not AI-driven systems, leaving a gap in regulation.

Aadhaar and UIDAI

The Aadhaar system collects biometric data for authentication. Although the Supreme Court restricted its use in the Aadhaar judgement, concerns remain about its integration with surveillance technologies.

Bharatiya Nagarik Suraksha Sanhita, 2023 (BNSS)

Police may use video surveillance during investigations, but there are no provisions limiting how long AI-generated surveillance data can be stored or how it can be used.

International Perspectives on AI and Surveillance

India can learn from global practices in regulating AI surveillance.

• OECD AI Principles: Stress transparency, accountability, and human-centric development.
• UNESCO AI Ethics Guidelines: Call for fairness, privacy protection, and avoidance of mass surveillance.
• European Union: The GDPR sets strict data protection rules, while the upcoming EU AI Act classifies biometric surveillance as “high risk” requiring strong safeguards.

These international standards highlight the importance of privacy by design and human rights protection in AI regulation.

Striking a Balance: Security vs Civil Liberties

For India, the challenge lies in using AI to improve security without compromising democracy and constitutional freedoms. Some key steps include:

Enacting a Robust Data Protection Law

The recently passed Digital Personal Data Protection Act, 2023 is a step forward. However, it must be backed by:

• Strong enforcement mechanisms.
• Independent data protection authorities.
• Strict penalties for misuse of surveillance data.

Ensuring Transparency

All government projects using AI surveillance must clearly disclose their purpose, scope, and safeguards. Citizens should have the right to know when and how their data is being collected.

Judicial Oversight

Surveillance powers should not rest solely with the executive. Courts or independent tribunals must authorise and review the use of AI surveillance to ensure necessity and proportionality.

Preventing Algorithmic Bias

AI tools must undergo regular bias audits to check for errors or discrimination against certain groups. Only systems that meet fairness and accuracy standards should be deployed.

Limiting Data Retention

Surveillance data should only be stored for as long as necessary. Rules must ensure deletion of personal data once the security purpose has been fulfilled.

Protecting Free Expression

AI surveillance should never be used to suppress dissent, monitor peaceful protests, or target journalists and activists.

Conclusion

AI in surveillance represents both a promise and a peril. On the one hand, it can make our cities safer, reduce crime, and support law enforcement. On the other hand, unchecked surveillance risks creating a society where citizens are constantly monitored, personal freedoms are restricted, and democracy is weakened.

India must therefore adopt a balanced approach. This includes enacting strong data protection laws, ensuring transparency, subjecting surveillance to judicial oversight, and protecting citizens against misuse.