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EC warns parties against misuse of AI-generated content — what’s new, legal hooks, and how compliance will be judged

Ahead of Bihar polls, EC tells parties to label and responsibly use any AI-generated content—warning that deepfakes contaminate a level playing field.
PUBLISHED OCTOBER 28, 2025
UPDATED JULY 15, 2026
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EC warns parties against misuse of AI-generated content — what’s new, legal hooks, and how compliance will be judged
EC warns parties against misuse of AI-generated content

With Bihar Assembly elections around the corner, the Election Commission (EC) has issued an advisory to all parties on responsible use and disclosure of synthetic/AI content in campaigns. The core message: deepfakes and hyper-realistic edits can distort voter perception, tilt the playing field, and thus undermine electoral integrity. Parties, candidates, and their campaign teams must prominently label any AI-generated or AI-altered image, audio, or video used in campaigning (e.g., “AI-Generated”).

What exactly counts as “synthetic” or AI-generated content?

  • Full generative outputs: an entire speech or image produced by an AI model.

  • AI-altered media: voice cloning, lip-syncing, face swaps, edited crowd shots, or modified quotes/audio that change meaning.

  • Composites and restorations: stitched clips or enhanced audio that could mislead by adding, omitting, or re-timing material.

Test to apply: Would a reasonable voter likely take this as authentic if not warned? If yes, it must be clearly and legibly labelled.

The legal/administrative backbone (how EC can act)

  • Article 324 (Constitution): EC’s plenary authority to ensure free and fair elections—used to issue advisories, directions, and remedial orders.

  • Model Code of Conduct (MCC): Once in force, bars unfair propaganda, personal vilification, communal appeals, and misleading material.

  • Representation of the People Act, 1951 (RPA): False statements touching a candidate’s character or conduct, appeals that inflame divisions, and undue influence can trigger complaints and prosecution.

  • Information Technology framework: Parties and their agencies remain responsible for content they originate or promote. Intermediaries must act on lawful takedown directions and enforce due-diligence rules against misinformation/deepfakes.

  • Other criminal/civil liabilities: Defamation, impersonation, identity/likeness misuse, and privacy breaches may separately attract action.

Practical consequences EC may trigger: notices and censure; direction to take down content; withdrawal of star-campaigner status; FIRs via state machinery; and public naming to deter repeat violations.

What the EC expects now (operational checklist for parties/candidates)

1) Prominent labelling

  • Put “AI-Generated” or “AI-Altered” as a visible on-screen label (video) and watermark/caption(image/audio).

  • Labels must be clear, prominent, and legible on every platform where the asset appears (not just the original post).

2) Disclosure & traceability

  • Maintain an internal content log: source file, tools used (voice clone/TTS/image model), date/time, responsible team/agency, and purpose.

  • Keep unaltered originals and change records (edits, prompts, scripts) to prove provenance if EC seeks verification.

3) Substantiation and consent

  • Do not fabricate quotes or depict rivals saying things they never said.

  • For likeness/voice portrayals—even satire—use consent or clear disclaimers; avoid deceptive similarity that could pass as real.

4) Guardrails for third-party agencies

  • Contracts with creatives/influencers must forbid deceptive deepfakes, mandate labelling, and require timely takedown if flagged.

  • Use pre-publication reviews for high-risk assets (leader speeches, sensitive issues).

5) Rapid response protocol

  • Set up a 24×7 escalation path during campaign weeks to:

    • pull down flagged content within minutes;

    • publish clarifications/corrections in the same channels;

    • preserve logs for regulators.

Red lines (high-risk behaviours that will draw action)

  • Voice-cloned speeches that look and sound real without labelling.

  • Doctored videos of rivals making inflammatory or caste/communal remarks.

  • Edited crowd scenes implying fake popularity or violence.

  • Synthetic endorsements from non-consenting public figures.

  • Coordinated bot/amplification to spread labelled content in a misleading way (e.g., burying the label, cropping it out).

For platforms and campaign tech teams (good practice)

  • Implement hashing and watermark checks; don’t strip metadata.

  • Use automated cues (face/voice-clone detectors) to flag uploads for manual review.

  • Preserve chain-of-custody logs: who uploaded, when, and from where.

  • Provide fast, well-staffed escalation when EC or parties raise verified complaints.

For voters (how to spot likely deepfakes quickly)

  • Watch the mouth/eye sync: unnatural blinks or lip movements vs audio.

  • Check ambience: reflections, shadows, or crowd reactions that don’t match.

  • Listen for room tone: cloned voices often lack natural breath/noise dynamics.

  • Compare across outlets: major announcements rarely appear on a single sketchy handle first.

Why this matters 

  • Level playing field: Elections reward persuasion, not fabrication. Deepfakes erode voter trust and can trigger polarisation or law-and-order issues.

  • Accountability by design: Labelling/disclosure creates traceability, making it costlier to cheat.

  • Future-proofing: Clear standards now will shape norms for synthetic media, AR/VR campaigning, and botsin future cycles.

Quick primer 

  • Who’s covered? Parties, candidates, consultants, creators, influencers—anyone producing or disseminating campaign material.

  • What’s mandatory? Clear labelling for AI-generated/altered content; responsible use and swift correction of misleading assets.

  • How enforced? EC directives under Article 324, MCC action, RPA complaints/prosecution, and IT-led takedowns.

  • What to keep? Audit trails (originals, edit histories, tool notes, approvals).

Credits: The UPSC Times elections desk; based on EC advisories, the Model Code of Conduct, Representation of the People Act provisions, and current IT due-diligence norms.

 

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About the Author

Raman sandhu

Raman sandhu

Editor At Large

Raman leads editorial direction and long-form analysis at The Upsc Times, bringing a clarity-first approach to governance, law, and public policy. He blends pro

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EC warns parties against misuse of AI-generated content. | The Upsc Times