Platform Accountability for Synthetic and AI-Generated Content

Introduction

Platform Accountability is becoming increasingly important as social media platforms, digital intermediaries, content-sharing services, and other online services deal with the rapid growth of synthetic and AI-generated content. Artificial intelligence can now create realistic text, images, audio, and video, including deepfakes and other manipulated material that may be difficult for users to distinguish from authentic content.

The legal and operational risks associated with synthetic content can include impersonation, misinformation, fraud, privacy violations, reputational harm, non-consensual intimate imagery, and other unlawful uses. India’s regulatory framework has increasingly focused on the responsibilities of online intermediaries and significant social media intermediaries in addressing these risks.

On 10 February 2026, the Government strengthened the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 to address harms arising from synthetically generated information (SGI), including AI-generated and deepfake content. The updated framework includes requirements concerning labelling, traceable metadata, platform due diligence, user awareness, and action against unlawful synthetic content.

The Government has also stated that the strengthened framework addresses harmful AI-generated material involving impersonation, non-consensual intimate imagery, child sexual exploitation material, and other unlawful content, together with faster response and grievance-redressal timelines.

This guide explains Platform Accountability for Synthetic and AI-Generated Content, including intermediary obligations, synthetic-content labelling, metadata, user responsibilities, content verification, grievance handling, unlawful content, platform governance, documentation, and practical compliance measures for 2026.

Why Platform Accountability Matters

Synthetic content can spread quickly across digital platforms and may be used for both legitimate and harmful purposes. Platforms therefore need effective mechanisms for identifying, labelling, restricting, and responding to unlawful or misleading AI-generated material.

Understanding Platform Accountability can help digital businesses:

• Establish clear responsibilities for synthetic content.
• Improve content-moderation processes.
• Identify unlawful AI-generated material.
• Implement appropriate labelling and metadata mechanisms.
• Strengthen user awareness.
• Improve grievance-redressal processes.
• Reduce impersonation and fraud risks.
• Protect users from harmful manipulated content.
• Maintain compliance documentation.
• Strengthen trust and platform governance.

The Government’s 2026 framework specifically emphasises technical measures, labelling, provenance or traceability, and stronger due-diligence obligations for intermediaries handling synthetic information.

Key Areas of Platform Accountability

1. Identification of Synthetic and AI-Generated Content

One of the first challenges for Platform Accountability is determining whether content has been generated or materially altered using AI or other technological systems.

The review may include:

• AI-generated text.
• AI-generated images.
• Synthetic audio.
• Synthetic video.
• Deepfakes.
• AI-modified photographs.
• Manipulated audio-visual material.
• AI-assisted content.
• Content containing synthetic elements.

The 2026 IT Rules framework introduces and addresses the concept of synthetically generated information, including information artificially or algorithmically created, generated, modified, or altered using a computer resource in a manner that appears reasonably authentic or true.

Platforms should establish processes appropriate to the nature and scale of their services for identifying relevant synthetic content.

2. Labelling and Traceable Metadata

The 2026 framework places particular emphasis on making permissible synthetic content identifiable to users.

The relevant requirements include:

• Labelling synthetic content.
• Embedding permanent identifiers or metadata.
• Making labels clearly visible or audible.
• Maintaining traceability.
• Preventing removal or suppression of required identifiers.

The explanatory material published by MeitY states that intermediaries enabling the creation or modification of synthetic information are required to ensure labelling or permanent unique metadata or identifiers, with prescribed visibility or audibility requirements.

Platforms should therefore review whether their technical architecture can support appropriate synthetic-content identification and provenance mechanisms.

3. User Declarations and Verification

Platform accountability also involves ensuring that users do not knowingly misrepresent synthetic information as authentic.

The framework provides enhanced obligations for significant social media intermediaries, including user declarations and reasonable technical measures to verify whether uploaded material is synthetically generated and to ensure appropriate labelling where required.

Platforms may therefore need appropriate procedures for:

• User declarations.
• Automated verification.
• Technical detection.
• Review of disputed classifications.
• Labelling.
• Escalation.
• Record keeping.

The precise controls should be proportionate to the platform’s role, technology, and applicable obligations.

4. Prevention of Unlawful Synthetic Content

Synthetic content can facilitate unlawful conduct, including:

• Impersonation.
• Identity fraud.
• Non-consensual intimate imagery.
• Obscene or prohibited content.
• Child sexual exploitation material.
• Defamatory or misleading material.
• Other unlawful uses.

The Government’s 2026 framework requires intermediaries to deploy reasonable technical measures aimed at preventing the creation and dissemination of unlawful synthetic information and specifically addresses categories of harmful AI-generated material.

Platforms should therefore develop risk-based systems for detecting, restricting, escalating, and documenting harmful content.

5. Content Moderation and Due Diligence

Content moderation is a central component of Platform Accountability.

Platforms should consider:

• AI-assisted moderation.
• Human review.
• Escalation procedures.
• High-risk content categories.
• Repeat offenders.
• Automated detection.
• Appeals.
• Removal procedures.
• Preservation of relevant records.

The Government has reiterated that intermediary due-diligence obligations under the IT Act and IT Rules apply to social media intermediaries, including reasonable efforts concerning unlawful information.

Platforms should ensure that moderation systems are supported by clear policies and appropriate governance rather than relying only on automated detection.

6. Grievance Redressal

Users affected by synthetic or AI-generated content may need rapid mechanisms for reporting harmful material.

A grievance process should establish:

• How complaints are submitted.
• Information required from complainants.
• Priority categories.
• Identity or impersonation complaints.
• Review procedures.
• Removal or restriction mechanisms.
• Escalation processes.
• Communication with affected users.
• Record keeping.

The Government’s August 2026 explanation of the amended framework notes shortened timelines for certain unlawful-content removal and grievance-redressal processes, including particularly sensitive categories.

Businesses should therefore ensure that their complaint-handling systems can meet applicable timelines.

7. Protection Against Impersonation and Identity Abuse

AI-generated content can convincingly imitate an individual’s appearance, voice, or mannerisms.

Potential risks include:

• Fake videos.
• Fake audio messages.
• Synthetic public statements.
• Fraudulent profiles.
• False endorsements.
• Identity theft.
• Reputation damage.

The Government has specifically identified impersonation and identity-related misuse among the harms associated with synthetic content.

Platforms should establish appropriate mechanisms for receiving reports involving impersonation and prioritising potentially harmful cases.

8. Privacy and Personal Data

Synthetic-content systems can involve photographs, recordings, identity information, biometric characteristics, or other personal data.

Businesses should therefore assess:

• Personal data contained in uploaded content.
• Data used for synthetic-content generation.
• Privacy notices.
• Lawful processing.
• Data retention.
• Access controls.
• Third-party processing.
• Security measures.
• Complaints involving misuse of personal information.

Platform governance should align synthetic-content controls with the organisation’s broader privacy and data-governance framework.

9. Transparency and User Awareness

Users should be able to understand when they are interacting with or viewing AI-generated or materially manipulated content where applicable.

Platform transparency measures may include:

• Visible labels.
• Warnings.
• User advisories.
• Content notices.
• Explanations of platform policies.
• Reporting mechanisms.
• Information about synthetic content.

The 2026 regulatory framework specifically includes stronger user-awareness and accountability obligations concerning synthetically generated information.

Clear user communication can reduce confusion and support more responsible use of AI-generated content.

10. Records, Audit Trails and Governance

Platforms should maintain records demonstrating how synthetic-content risks are managed.

The records may include:

• Detection results.
• User declarations.
• Metadata records.
• Content-review decisions.
• Removal actions.
• Grievances.
• Appeals.
• Escalations.
• Policy updates.
• Technical assessments.
• Compliance reviews.

Well-maintained records can help organisations demonstrate Platform Accountability and investigate complaints, regulatory inquiries, or disputes.

Common Platform Accountability Risks

Platforms may face Platform Accountability risks due to:

• Failure to identify synthetic content.
• Missing or inadequate labels.
• Failure to preserve required metadata.
• Weak verification systems.
• Insufficient technical safeguards.
• Delayed removal of unlawful synthetic content.
• Poor grievance-redressal processes.
• Inadequate impersonation controls.
• Weak moderation procedures.
• Excessive reliance on automated systems.
• Inadequate human review for high-risk cases.
• Poor user awareness.
• Weak record keeping.
• Insufficient third-party oversight.
• Failure to update compliance processes following regulatory changes.

These weaknesses can increase legal, regulatory, reputational, and operational exposure for digital platforms.

Best Practices for Platform Accountability

Platforms dealing with synthetic and AI-generated content should consider the following practices:

• Establish a dedicated synthetic-content governance policy.
• Define categories of permissible and prohibited AI-generated content.
• Implement appropriate labelling and metadata controls.
• Establish user declaration and verification mechanisms where applicable.
• Use risk-based automated detection tools.
• Maintain human review for high-risk cases.
• Create fast escalation procedures for harmful content.
• Strengthen impersonation-reporting mechanisms.
• Maintain effective grievance-redressal systems.
• Provide clear user advisories.
• Maintain detailed audit trails and compliance records.
• Review AI and content-moderation vendors.
• Test detection and moderation systems regularly.
• Train trust-and-safety, legal, compliance, and technology teams.
• Conduct periodic regulatory compliance reviews.

A coordinated combination of technology, legal controls, platform governance, and human oversight can strengthen Platform Accountability and support safer digital services.

2026 Platform Accountability Considerations

Platform Accountability is particularly important in 2026 following the strengthened Indian framework addressing synthetically generated information.

The updated IT Rules, 2021 were published following amendments dated 10 February 2026, with a focus on synthetic information, including labelling, traceability, due diligence, user awareness, and enhanced obligations for relevant intermediaries.

Platforms should therefore pay particular attention to:

• Synthetic-content identification.
• Permanent labelling and metadata.
• AI-generated deepfakes.
• User declarations.
• Technical verification.
• Impersonation and identity abuse.
• Non-consensual intimate imagery.
• Child-safety risks.
• Faster content-removal processes.
• Grievance-redressal timelines.
• Automated moderation.
• Human oversight.
• Compliance documentation.

MeitY’s 2026 materials also make clear that the regulatory framework is intended to address harmful synthetic information while supporting an open, safe, trusted, and accountable digital environment.

Platforms should therefore review their policies, technical controls, moderation processes, contracts, and grievance systems regularly as regulatory expectations and AI capabilities continue to evolve.

How Derecho Consulting Can Help

Derecho Consulting can help digital platforms manage Platform Accountability obligations through regulatory assessments, AI governance reviews, intermediary-compliance advisory, synthetic-content policy development, contract review, privacy assessments, grievance-process reviews, risk assessments, and legal compliance documentation.

A proactive approach can help platforms:

• Assess synthetic-content compliance requirements.
• Review intermediary policies and procedures.
• Develop AI-content governance frameworks.
• Strengthen labelling and reporting processes.
• Review third-party AI and moderation providers.
• Improve grievance-redressal mechanisms.
• Assess privacy and intellectual-property risks.
• Establish appropriate compliance documentation.
• Prepare for regulatory and internal compliance reviews.

Derecho Consulting can also assist platforms in periodically reviewing their synthetic-content policies as India’s digital regulatory environment develops.

Conclusion

Platform Accountability for Synthetic and AI-Generated Content is becoming an important part of digital-platform governance in India. AI-generated content can support creativity, innovation, accessibility, and digital communication, but the same technology can also facilitate impersonation, fraud, misinformation, privacy violations, and other harmful conduct.

The strengthened 2026 IT Rules framework places greater emphasis on identifying synthetic content, maintaining appropriate labels and traceability, strengthening platform due diligence, improving user awareness, and responding more quickly to harmful material.

By implementing appropriate technical safeguards, user declarations, content-verification systems, moderation procedures, grievance mechanisms, privacy controls, and compliance documentation, digital platforms can better manage their responsibilities.

A proactive and well-documented approach to Platform Accountability can help organisations reduce regulatory and operational risks, protect users, strengthen trust, and support responsible innovation in India’s rapidly evolving AI and digital ecosystem.