Synthetic Data Fabrication Criminal Liability

Introduction

Synthetic Data Fabrication Criminal Liability refers to the legal responsibility arising from the intentional creation, alteration, manipulation or distribution of false data using artificial intelligence, machine learning, deepfake technology or other digital tools.

Synthetic data may be artificially generated for legitimate purposes such as research, software testing, simulations and privacy protection. However, criminal liability may arise when fabricated data is deliberately used to commit fraud, create false electronic records, impersonate individuals, manipulate evidence, damage reputations or deceive public authorities.

In India, there is no separate criminal statute titled Synthetic Data Fabrication Law. Liability is determined under existing criminal, information technology and evidence laws. Importantly, generating artificial data is not automatically a crime; the intention, knowledge, manner of use and resulting harm are relevant.

Legal and Regulatory Framework in India

1. Bharatiya Nyaya Sanhita, 2023 (BNS):

Section 335 deals with making false documents and false electronic records.

Section 336 addresses forgery, including forgery intended to cause injury or facilitate fraud.

Section 340 penalises fraudulently or dishonestly using a forged electronic record as genuine.

Sections 227–233 address giving or fabricating false evidence and using evidence known to be false.

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2. Information Technology Act, 2000: Sections 66C and 66D address identity theft and cheating by personation using computer resources. Sections 67, 67A and 67B address specified categories of obscene, sexually explicit and child sexual material in electronic form. Their application depends on the ingredients of each offence.

3. Bharatiya Sakshya Adhiniyam, 2023: The Act recognises electronic and digital records as evidence and establishes requirements concerning their admissibility and authenticity. Fabricated or manipulated digital material may be challenged through forensic examination and other evidentiary procedures.

4. IT Intermediary Rules, 2021, as amended in February 2026: The amendments specifically address synthetically generated information and impose relevant duties on intermediaries, including measures against unlawful synthetic content and labelling or provenance requirements for permitted content.

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Important Case Laws

1. Mohammed Ibrahim v. State of Bihar (2009) 8 SCC 751: The Supreme Court explained the legal requirements for making a false document and committing forgery. The judgment is relevant when determining whether fabricated digital documents satisfy the legal ingredients of forgery.

2. Sheila Sebastian v. R. Jawaharaj (2018) 7 SCC 581: The Supreme Court clarified that the person who makes a forged document is central to liability for forgery. This principle is relevant when identifying the actual creator of fabricated electronic records.

3. Anvar P.V. v. P.K. Basheer (2014) 10 SCC 473: The Supreme Court established important requirements for admitting electronic records under the former Section 65B of the Indian Evidence Act. The decision provides historical guidance on electronic evidence, while the present statutory framework is governed by the Bharatiya Sakshya Adhiniyam, 2023.

4. P. Gopalkrishnan v. State of Kerala (2020) 9 SCC 161: The Supreme Court considered the evidentiary status of electronic records stored on a memory card and addressed access to such material in criminal proceedings. The case highlights the importance of examining electronic evidence carefully and protecting the fairness of criminal trials.

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Major Principles of Criminal Liability

Intentional fabrication: Deliberately creating false electronic records with fraudulent or dishonest intentions may attract criminal liability.

Knowledge and use: Knowingly presenting fabricated data as genuine may constitute a separate offence.

Identity attribution: Investigators must establish who created, altered or distributed the fabricated material.

Digital forensic examination: Metadata, source files, timestamps, hash values and audit trails can help establish authenticity and manipulation.

Evidence integrity: Fabricated digital evidence must not be used to secure an unlawful conviction.

Proportionate liability: Legitimate synthetic data created for research, testing, education or privacy protection should not automatically attract criminal punishment.

Conclusion

Synthetic Data Fabrication Criminal Liability is an important emerging area of criminal law in the age of artificial intelligence. Indian law provides several mechanisms to address deliberate digital forgery, electronic fraud, impersonation and fabrication of evidence. However, criminal liability requires proof of the specific offence, the accused person's involvement and the necessary intention or knowledge. Merely generating artificial data is not a criminal act. Future legal development should strengthen digital forensic standards, clarify responsibility for AI-generated deception and protect individuals against fraudulent manipulation while preserving legitimate technological innovation.