Baijayant Panda Proposes Deepfake Likeness Protection Bill
BJP MP Baijayant Panda proposed a private member's bill in August 2026 to protect faces, voices, and other identifiable attributes from non-consensual AI replication. Mint reports that the proposed Protection of Personality Likeness from Misuse Bill, 2026 would require disclosure of permitted synthetic imitations and propose faster takedowns plus civil and criminal penalties in serious misuse cases.
Baijayant Panda, a BJP lawmaker and chairperson of Parliament's Committee on Public Undertakings, has proposed a private member's bill addressing non-consensual AI-generated replicas of an individual's face, voice, and other identifiable attributes. Mint reports that the proposed Protection of Personality Likeness from Misuse Bill, 2026 responds to deepfakes that have become harder to distinguish from authentic media.
According to Mint's report of an interview with Panda, the bill proposes mandatory disclosure of permitted AI-generated imitations, along with technological markers, faster takedowns, and civil and criminal penalties for serious misuse.
Panda told Mint, "There must be some disclaimer. There should be a clear distinction between what is real and what is AI-generated." He compared potential technical markers to watermarks used to validate documents, while describing their purpose as helping people establish whether content is genuine or AI-generated.
Parliamentary status and scope
The legislation had been scheduled for introduction in the Lok Sabha, but Hindustan Times and ETV Bharat report that repeated House adjournments prevented the bills from being taken up. ETV Bharat identifies the proposed measure as the Protection of Personality Likeness from Artificial Intelligence Misuse Bill, 2026 and reports that it addresses unauthorized and misleading use of likeness through AI and other emerging technologies.
The proposal is separate from Panda's Safeguarding Healthy Internet Environment for Little Digital-Natives (SHIELD) Bill, 2025. Hindustan Times reports that the SHIELD bill includes age-verification requirements for services accessible to minors, verified parental consent for certain accounts held by children under 13, limits on profiling and personalized advertising aimed at children, and prescribed response times for reported harmful content.
NewsBytes reports that Panda's likeness bill aims to protect against non-consensual impersonation while retaining space for journalism, satire, and free expression. In the Mint interview, Panda similarly distinguished realistic, misleading depictions of someone from satire, arguing that viewers recognize satire as a joke.
Content provenance is the technical issue
The reported disclosure and marker provisions place content provenance at the center of the proposal. Watermarks and related provenance mechanisms can attach evidence about an asset's origin or editing history, but they do not by themselves establish that a video, image, or audio clip is true. Their practical value depends on whether creation tools apply them consistently, platforms preserve them through re-encoding, and users or moderation systems can inspect them.
Comparable policy discussions increasingly separate two problems: preventing unauthorized identity replication and helping audiences assess the origin of media. The first concerns consent, likeness, and remedies for harm. The second concerns labeling, metadata, watermarking, and detection systems. A legal requirement for disclosure could make these concerns operationally linked for AI developers, social platforms, and teams deploying voice or avatar-generation systems.
The bill remains a proposal rather than enacted law. Its eventual parliamentary treatment, final definitions of AI-generated imitation and consent, technical standards for markers, and rules governing exceptions for reporting or artistic work would determine its direct obligations for platforms and model providers.
Key Points
- 1Panda's proposed bill targets non-consensual AI replication of faces, voices, and other identifiable attributes, pairing identity protection with synthetic-content disclosure.
- 2Mint reports proposed markers and disclosure requirements, bringing provenance infrastructure into a legal debate commonly centered on deepfake detection.
- 3Comparable regulation often requires platforms and model providers to operationalize consent records, content labeling, preservation of provenance metadata, and takedown workflows.
Scoring Rationale
The proposal is notable for AI practitioners because it links deepfake harms to disclosure, provenance markers, and takedown mechanisms. It is not enacted legislation, so its immediate operational impact on model providers and platforms remains limited pending parliamentary action and final text.
Sources
Public references used for this report.
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