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Not in every case. As of 25 October 2026, India has no blanket rule requiring every creator to disclose AI assistance whenever they publish AI-made or AI-assisted content. A different obligation applies to covered intermediaries: under amendments to the IT Rules that took effect on 20 February 2026, they must clearly label permissible synthetically generated information (SGI) and attach traceable metadata. Separately, AI content can still be subject to ordinary laws if it is unlawful or harmful.
What does Indian law require when someone uses AI to make content?
The answer depends on who is responsible for the content and what the content is. The 2026 amendments place a labelling and metadata duty on intermediaries for covered, permissible SGI. The official materials do not establish a universal duty on every individual creator to add an AI label to every AI-assisted image, article, presentation or other work.
That distinction is important: a platform’s compliance duty is not automatically the same as a creator’s duty. The official framework also does not create an exemption from other laws just because a person used an AI tool. A realistic synthetic image that impersonates someone, for example, may raise different legal issues from an AI-assisted translation or a routine correction to a photograph.
Whether a particular publication needs a label can therefore turn on at least four things: whether it falls within the definition of SGI, whether an intermediary is responsible for hosting or distributing it, whether other laws or rules apply to the content, and whether a sector-specific rule, contract or platform policy adds an obligation.
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What changed on 20 February 2026?
The Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Amendment Rules, 2026 were notified on 10 February 2026 and came into force on 20 February 2026, according to MeitY’s FAQ. The amended framework requires intermediaries to ensure clear labelling and traceable metadata for permissible AI-generated content that falls within the relevant category.
The practical purpose is to help users identify synthetic material and make it possible to trace relevant information about it. The obligation described in the official materials is aimed at intermediaries; it should not be rewritten as a rule that every person who uses AI must label every output.
MeitY says its FAQ answers general queries and “is not a legal document” that replaces, amends or alters the Act or Rules. For a legal compliance decision, the notified Rules—not a simplified summary of them—are the operative text. A separate sector-specific regime may also matter, particularly in areas such as advertising, elections, news, education, cinema or government communications.
What counts as synthetically generated information?
The Gazette definition focuses on synthetic audio, images and audiovisual information that is made or changed to appear real, authentic or true, and that portrays an individual or event as indistinguishable from a natural person or a real-world event. The key issue is not simply whether an AI tool was involved. It is whether the result has the specified realistic, potentially indistinguishable character.
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Examples that may fall within the definition
- An artificially generated or altered image that appears to depict a real individual or event.
- Synthetic audio or audiovisual material presented in a way that makes it appear to be an authentic person or real-world occurrence.
- Material modified algorithmically so that the depiction appears true and cannot be distinguished from the real person or event it portrays.
These are illustrations of the definition’s focus, not a ruling on any particular post. A stylised illustration, obviously fictional animation or other output that does not meet the Gazette definition should not be assumed to be covered merely because AI helped create it. The precise facts and the notified text matter.
What ordinary edits are excluded?
The Gazette excludes a range of routine, good-faith work where it does not materially alter meaning. The exclusions include editing, formatting, enhancement, technical correction, colour adjustment, noise reduction, transcription and compression. They also cover certain ordinary documents and materials when no false document or false electronic record is created.
Other exclusions include accessibility, clarity, quality, translation, description, searchability and discoverability improvements that do not manipulate a material part of the underlying content. These examples matter because treating every technical change as synthetic content would be too broad; the definition distinguishes material synthetic representation from routine processing.
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Not under a general creator-side disclosure rule established by the official materials described here. A creator should not infer that a label is legally compulsory in every case just because AI contributed to the work. But that is not a guarantee that a specific creator can never have a disclosure obligation: other laws, sector-specific rules, a contract or a platform’s own policy may impose additional requirements.
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For an image, ask whether it is realistic synthetic material portraying an individual or event as indistinguishable from reality, rather than simply whether an image generator was used. For writing, an AI-assisted draft or edited document is not automatically SGI under the described definition, which focuses on audio, images and audiovisual information. The exclusions also address ordinary preparation of documents, presentations, PDFs, educational or training materials, research outputs and illustrative or template content, provided no false document or false electronic record is created.
A creator who publishes realistic synthetic media should consider how the relevant intermediary handles the content and whether a separate rule or policy applies. The intermediary’s duty under the amended Rules does not by itself answer every question about what a user should say in a caption, what a contract requires, or whether a particular use is lawful.
How can you assess a piece of content before publishing it?
Use the following sequence to identify the issues that need attention. It is a practical way to apply the categories in the official materials, not a substitute for the Rules or case-specific legal advice.
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- Identify the output. Is it audio, an image or audiovisual information? If it is a text document or presentation, consider the separate exclusions for ordinary document preparation and related materials.
- Check how it appears. Does it appear real, authentic or true, and portray an individual or event as indistinguishable from a natural person or real-world event? If not, the defining feature described in the Gazette may be absent.
- Separate material alteration from routine processing. Ask whether the work is only good-faith editing, correction, formatting, translation, accessibility work or another listed improvement that does not materially alter meaning or manipulate a material part of the underlying content.
- Consider the distribution route. Is an intermediary hosting or distributing the material? The 2026 labelling and traceable-metadata obligation described by the government is imposed on intermediaries, so the platform’s role is relevant.
- Check for other legal or policy requirements. Could the content impersonate someone, invade privacy, be obscene or sexually explicit, mislead people, or otherwise be unlawful? Also check any applicable sector-specific rules, agreement or platform policy.
- Resolve uncertainty using the operative text. If classification or compliance has legal consequences, consult the notified Rules and a qualified adviser rather than treating a general FAQ as the final legal authority.
Does the absence of a general label rule make AI content legally safe?
No. The absence of a blanket disclosure rule does not legalise the content or remove responsibility for what it does. Government materials describe the IT Act as applying uniformly to computer resources using AI and say it does not distinguish AI-generated information from user-generated information when dealing with cyber offences and related obligations.
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That technology-neutral approach means the relevant question may be the content and conduct, not the tool used to produce it. Government materials identify the IT Act, the IT Rules, the Digital Personal Data Protection Act and the Bharatiya Nyaya Sanhita as relevant to AI-related harms. Depending on the facts and applicable provisions, impersonation, privacy violations, obscene or sexually explicit material, misinformation, deception and other unlawful content may lead to removal duties, loss of intermediary protections, or civil or criminal consequences.
Those consequences are not automatic in every case, and the applicable provision depends on the conduct and facts. The point is narrower: adding an AI label does not cure unlawful content, while omitting a label is not, on its own, proof that a creator broke a universal disclosure rule.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should publishers and platforms do differently from individual creators?
A publisher or platform should distinguish its own compliance responsibilities from an author’s workflow. The amended Rules address intermediary measures for permissible SGI, including clear labels and traceable metadata. A publisher that operates an intermediary service may need to assess those requirements in that capacity; an individual contributor should not assume that the platform’s duty transfers wholesale to them.
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That process avoids two opposite mistakes: treating all AI-assisted work as legally label-required, and assuming that anything outside the SGI definition is free of other legal or platform constraints. The classification is only one part of the decision.
How should you read MeitY’s guidance?
MeitY’s FAQ is useful for understanding the government’s explanation of the amendments and their commencement date, but it expressly says it is not a legal document and does not replace the IT Act or IT Rules. The notified Rules and any applicable sector-specific regime control the legal analysis.
MeitY has also stated that the IT Act does not distinguish between information generated using AI tools or other technology and information generated by users when addressing cyber offences or related matters. Read together, those statements support a careful conclusion: the framework adds intermediary-facing synthetic-content measures, while existing law continues to apply to harmful or unlawful conduct without regard to whether AI was used.
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Does an AI label make a deepfake legal in India?
No. A label does not neutralise impersonation, privacy violations, deception or another potentially unlawful feature of the content. The relevant legal consequences depend on the facts and applicable provisions, not only on whether the material is marked as synthetic.
Can my employer or client require me to disclose AI use even if Indian law does not impose a blanket rule?
A contract or workplace policy may set requirements beyond the general statutory position discussed here. Check the terms that govern the assignment, because a private disclosure obligation is distinct from a universal legal duty.
Does this answer cover AI disclosures in election advertising or news publishing?
Not completely. Those areas may have sector-specific rules or guidance, and the general intermediary framework is not enough to establish every obligation for a particular election, publication or medium.
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