CJI Gavai Exposes AI-Generated Deepfake Threats to Judiciary
Chief Justice of India (CJI) DY Chandrachud and Justice Bhushan Gavai have issued a stark warning about the misuse of artificial intelligence (AI) to target judges. At a recent event, Justice Gavai revealed that morphed images and deepfake content of judges, including himself, are being circulated online, threatening judicial integrity.
Judges Targeted by AI-Generated Misinformation
Speaking at the ‘Technology and Judicial Dialogue’ conference, Justice Gavai shared firsthand experiences: “We have seen our morphed pictures too.” Deepfakes and synthetic media are being weaponized to spread false narratives and undermine trust in the judiciary. CJI Chandrachud stressed the need for responsible AI use, balancing innovation with ethical safeguards.
Deepfake Crisis: India’s Judiciary Under Fire
India faces a surge in AI-generated deepfakes targeting public figures, including judges. Fake endorsements, manipulated videos, and cloned voice clips are being used to mislead the public. Legal experts warn that such tactics could intimidate judges or sway court decisions, destabilizing India’s legal system.
India’s Legal Gaps in Regulating AI Misuse
Current laws like the IT Act and IPC lack specific provisions against deepfakes. While the government has urged social media platforms to remove fake content, enforcement is weak. CJI Chandrachud called for regulatory measures to curb AI abuse without hindering progress.
Global Lessons for India’s AI Regulation
The US, UK, and EU are implementing strict deepfake laws, such as mandatory AI content watermarks. India could adopt similar measures, including:
1. Updating cyber laws to criminalize deepfake creation.
2. Public awareness campaigns to spot manipulated content.
3. Holding tech companies accountable for unchecked AI misuse.
Safeguarding Democracy in the AI Age
The judiciary’s alert underscores the urgent need for action. As AI evolves, India must prioritize ethical use to protect its institutions. The question remains: Will policymakers act before deepfakes erode judicial trust?
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