← Resources · February 10, 2026
Polity & Governance GS2GS3 4 min read

Social media rules notified: ‘Prominent’ AI labels, three hour timeline to block content

What happened
01

The IT Ministry notified amendments to the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, introducing binding obligations on AI-generated content

02

An earlier proposal (October 2025) requiring AI labels to cover at least 10% of content space was diluted — the notified rules require "prominently" visible labels instead, following pushback from tech companies

03

The takedown timeline for problematic content has been drastically reduced from 36 hours to 3 hours

04

Platforms must embed permanent metadata or provenance markers into AI-generated content so its origin can be traced even when shared across platforms

05

Routine editing, accessibility improvements, and good-faith educational or design work are excluded from the definition of regulated synthetic content

06

The rules will come into force on 20 February 2026, the final day of the India-AI Impact Summit

07

Intermediaries must deploy automated AI filters to block uploading of child abuse material and non-consensual deepfake intimate imagery

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Intermediary Guidelines and Digital Media Ethics Code Rules, 2021 — Regulatory Framework

The IT Rules 2021, notified under Section 87 read with Section 79 of the IT Act 2000, established a comprehensive framework for digital intermediaries in India. They introduced the concept of "significant social media intermediaries" (SSMIs) — platforms with over 5 million registered users in India — which face enhanced obligations compared to ordinary intermediaries.

Key Details

  • Notified: 25 February 2021; replaced the IT (Intermediary Guidelines) Rules, 2011
  • Part II: Due diligence by intermediaries — privacy policy, terms of service, grievance mechanism
  • Part III: Additional due diligence for SSMIs — compliance officer, nodal contact person, grievance officer (all resident in India), monthly compliance reports, traceability of first originator (for encrypted messaging platforms)
  • Grievance Appellate Committee (GAC): Established under 2022 amendment as a second tier of grievance redressal before courts
  • Section 79 of IT Act: Safe harbour protection — conditional on compliance with these rules
Connection to this news

The 2026 amendment adds new obligations specifically for AI-generated content, layering them on top of the existing framework — platforms that fail to comply with the 3-hour takedown and labelling requirements risk losing their safe harbour protection under Section 79.

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Artificial Intelligence Content Regulation — Global Approaches

Governments worldwide are grappling with regulating AI-generated content. The challenge lies in balancing innovation, free expression, and protection against misinformation and harmful synthetic media, while ensuring regulations are technically feasible for platforms to implement.

Key Details

  • EU AI Act (2024): Classifies AI systems by risk level — unacceptable, high, limited, and minimal risk; deepfakes classified as "limited risk" requiring transparency (disclosure that content is AI-generated)
  • US approach: No federal AI content regulation; state-level laws in California (AB 2839 — election deepfakes, 2024) and Texas
  • China: Deep Synthesis Provisions (2023) — require labelling and traceability of AI-generated content; platforms must verify user identities
  • India's approach: No standalone AI legislation; regulation through IT Act and IT Rules amendments; proposed Digital India Act (to replace IT Act 2000) still pending
  • OECD AI Principles (2019, updated 2024): Recommend transparency and responsible stewardship of trustworthy AI
Connection to this news

India's approach of regulating through amendments to existing IT Rules (rather than a standalone AI law) allows for faster implementation but may lack the comprehensive framework needed for rapidly evolving AI technologies.

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Content Provenance and Watermarking — Technical Framework

Content provenance refers to the ability to trace the origin, history, and modifications of digital content. Watermarking and metadata embedding are technical mechanisms to establish provenance — ensuring that AI-generated content can be identified even after multiple shares across platforms.

Key Details

  • C2PA (Coalition for Content Provenance and Authenticity): Industry standard backed by Adobe, Microsoft, Intel, and BBC — uses cryptographic signatures to embed provenance data
  • Digital watermarking: Imperceptible marks embedded in content (visible or invisible) — Google's SynthID, OpenAI's image watermarking are examples
  • Metadata standards: EXIF data for images, IPTC standards for news media — can be stripped easily, hence cryptographic approaches are preferred
  • Challenges: Watermarks can be removed or altered; metadata stripping is common on social media platforms; requires interoperability across platforms
Connection to this news

The rules mandate permanent metadata or provenance markers that cannot be removed or suppressed — implementation will require platforms to adopt interoperable technical standards for content provenance.

Key facts & data
  • AI label requirement: Must be "prominently" visible; earlier 10% space requirement dropped after industry consultation
  • Takedown timeline: 3 hours (down from 36 hours)
  • Effective date: 20 February 2026
  • SSMI threshold: 5 million registered users in India
  • Prohibited categories for automated filtering: Child abuse material, non-consensual intimate imagery
  • IT Rules 2021: First notified 25 February 2021; key amendments in 2022, 2023, and 2026
  • EU AI Act: Adopted 2024; deepfakes classified as "limited risk" requiring transparency
  • Scope exclusions: Routine editing, accessibility improvements, and good-faith educational use
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