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UGC rules on AI and plagiarism, explained

India has a national academic-integrity regulation with real percentage thresholds written into it. It is about similarity — text that matches something else. AI-generated writing matches nothing, which means the rule most Indian departments cite when they accuse someone of using AI may not reach the thing they are accusing them of.

What the regulation actually says

The UGC (Promotion of Academic Integrity and Prevention of Plagiarism in Higher Educational Institutions) Regulations, 2018 were approved at the Commission’s 530th meeting on 20 March 2018 and notified in the Official Gazette of India on 31 July 2018. On 6 August 2018 the Secretary wrote to the Vice-Chancellor of every university asking that they be put in force and “accorded Top Most Priority”.

It grades similarity into bands. In the regulation’s own words:

  • “Level 1: Similarities above 10% to 40%”
  • “Level 2: Similarities above 40% to 60%”
  • “Level 3: Similarities above 60%”

Below the 10% floor at which Level 1 begins, similarity is treated as minor. Penalties escalate by level; read them in the regulation itself rather than from anyone’s summary, including ours.

The gap this leaves

Every threshold above is a similarity percentage. Similarity software works by matching your sentences against a corpus of existing text. A language model does not copy from that corpus — it generates sentences that have never been written before.

The consequence is uncomfortable for everyone involved: AI-written work can return a clean similarity report, while an honest, heavily-cited literature review can breach Level 1 on quotations and standard phrasing alone. The 2018 framework was built for copying, and AI writing is not copying.

This is the same structural point as SafeAssign, which does not detect AI either — except here it is written into a national regulation rather than one vendor’s product.

Is there a UGC limit for AI content?

We could not find one. The 2018 regulations set no AI percentage and describe no AI detection procedure. If a department is applying a “20% AI” ceiling, that is an institutional rule — which it is entitled to make — and it is entirely fair to ask which document it comes from and when it was adopted.

A warning about sources. Searching for this turns up several pages confidently describing “UGC AI Plagiarism Guidelines 2026” with specific percentages. They are content marketing for thesis-writing services, and we could not trace their claims to any UGC notification. We are not going to repeat a number we cannot find in a gazette, and neither should a panel deciding your case.

What the government actually provides

The Ministry of Education runs ShodhShuddhi through the INFLIBNET Centre, supplying plagiarism detection to 1100+ institutions since 1 September 2019. It provided Ouriginal — formerly Urkund — until 30 September 2023. In INFLIBNET’s own words: “Starting from October 1, 2023, the INFLIBNET Centre now offers the ‘DrillBit-Extreme Plagiarism Detection Software’”, with full service from 1 November 2023.

Note what that programme is: a plagiarism detection service. If an AI score is being quoted at you in an Indian university, it is worth establishing which tool produced it, because it may not be the one the government supplied.

Who decides your case

Two panels, and the composition matters. The Departmental Academic Integrity Panel is chaired by the Head of the Department and includes a senior academician from outside the department and, in the regulation’s phrase, “a person well versed with anti plagiarism tools”. The DAIP “shall investigate the matter and submit its recommendations to the Institutional Academic Integrity Panel (IAIP)”.

That third DAIP member is the person to address a technical objection to. The regulation anticipated that reading these tools requires expertise; a panel treating a percentage as self-evident is not using the seat the regulation gave it.

Where we stand

We sell a detector and a humanizer, so weigh this page accordingly, and none of it is legal advice. Every figure above is quoted from UGC’s or INFLIBNET’s own published documents and linked below. Where we could not verify something — a UGC AI threshold — this page says we could not find it rather than filling the gap.

If you have been accused, the general guidance applies: what to do next and how to prove you wrote it. Draft history is the strongest evidence there is, and it is worth keeping before you need it.

Related

Common questions

What are the UGC plagiarism percentage limits?
The UGC (Promotion of Academic Integrity and Prevention of Plagiarism in Higher Educational Institutions) Regulations, 2018 define three graded levels. In the regulation's own words: 'Level 1: Similarities above 10% to 40%', 'Level 2: Similarities above 40% to 60%' and 'Level 3: Similarities above 60%'. Below the 10% floor where Level 1 begins, the regulation treats similarity as minor.
Is there a UGC limit for AI-generated content?
We could not find one, and we looked. The 2018 regulations are written entirely around similarity — text that matches an existing source. They set no AI percentage and describe no AI detection procedure. If your department is applying a '20% AI' cap, that is an institutional rule, not a UGC one, and it is fair to ask which document it comes from. Be careful with pages claiming to summarise 'UGC AI guidelines 2026'; several are content marketing, and we could not trace their claims to any UGC notification.
Does the UGC regulation cover AI writing at all?
Structurally, it struggles to. Similarity software works by matching your text against a corpus. A language model writes text that exists nowhere else, so it produces little or no similarity — which means AI writing can pass a Level 0 check while a heavily-cited literature review fails one. The framework was built in 2018 for a problem of copying, and AI writing is not copying.
Which software do Indian universities use?
For PhD-level work, most use what the government provides. The Ministry of Education runs ShodhShuddhi through the INFLIBNET Centre, covering 1100+ institutions since 1 September 2019. It supplied Ouriginal (formerly Urkund) until 30 September 2023, and 'Starting from October 1, 2023, the INFLIBNET Centre now offers the DrillBit-Extreme Plagiarism Detection Software', with full service from 1 November 2023.
Who decides a plagiarism case in an Indian university?
Two panels. The Departmental Academic Integrity Panel investigates and 'shall investigate the matter and submit its recommendations to the Institutional Academic Integrity Panel (IAIP)'. The DAIP is chaired by the Head of the Department and includes a senior academician from outside the department and — the regulation's phrase — 'a person well versed with anti plagiarism tools'.
How binding is the 2018 regulation?
It was approved at UGC's 530th meeting on 20 March 2018 and notified in the Official Gazette of India on 31 July 2018. The Secretary circulated it to the Vice-Chancellor of every university on 6 August 2018, asking that it 'be accorded Top Most Priority'. It is the national framework, and it is the document your institution's own policy is almost certainly derived from.

Sources

  1. 1.UGC letter to all Vice-Chancellors, D.O.No.F.1-18/2010(CPP-II) — University Grants Commission, 6 August 2018 (gazette notification 31 July 2018)
  2. 2.Compendium of UGC Regulations 1957–2023 — plagiarism levels and panels — UGC, read 17 August 2026
  3. 3.About ShodhShuddhi — INFLIBNET Centre, Ministry of Education, read 17 August 2026