The Supreme Court has drawn a stark comparison while addressing the problem of fake judgments generated by artificial intelligence, likening the phenomenon to the relea…
Supreme Court Flags AI-Fabricated Judgments
The Supreme Court has drawn a stark comparison while addressing the problem of fake judgments generated by artificial intelligence, likening the phenomenon to the release of methyl isocyanate in the justice system. The observation, reported by LawBeat, invokes the memory of the Bhopal gas tragedy, where methyl isocyanate was the lethal chemical involved. By using that analogy, the Court signals that AI-hallucinated citations and orders are not a minor technical glitch but a systemic hazard capable of contaminating the legal record itself. The Court's concern centres on litigants, counsel and even courts being misled by material that appears authoritative but has no basis in any actual judicial proceeding.
Why It Matters For Businesses
For companies, tax practitioners and compliance professionals, the risk is practical rather than abstract. Judicial orders and citations increasingly feed into tax positions, regulatory filings, contract disputes and due diligence exercises. If a fabricated judgment is relied upon in an assessment, an appeal or an advisory note, the error can surface later as misrepresentation before a court or tribunal. The Supreme Court's warning also places a fresh onus on in-house counsel and consultants to verify every authority they cite, particularly when research is assisted by AI tools. The reputational and professional consequences of relying on non-existent precedent can be severe, and the Court's language suggests it views such conduct as a threat to the administration of justice as a whole.
What To Watch Next
The immediate question is whether the Court issues formal directions on disclosure and verification of AI-assisted research in filings. Regulators and professional bodies may follow with guidance for advocates, chartered accountants and company secretaries. Firms that have adopted generative AI for legal and tax research should expect closer scrutiny of their internal review processes. …
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