TRAI spam sharing plan faces AI model mismatch, consent gaps

Telecom operators cannot agree on who a spammer is because their AI detection systems differ, a MediaNama roundtable on August 12 heard. The Telecom Regulatory Authority of India (TRAI) has directed operators to share AI-detected spam signals across networks within two hours from February 2026, but each operator uses different AI models and parameters. A number flagged as spam by one network may not be flagged by another, raising concerns about acting on 'a guess about a guess.' Operators argue shared signals should inform, not dictate, blocking decisions, and resist passing AI indicators to law enforcement as a flag is only a probability.

TRAI wants operators to share AI spam flags, but systems disagree

The roundtable also highlighted that the consent system promised under TRAI's 2018 telecom rules was never implemented. The Distributed Ledger Technology platform lacks a consent layer, so messages cannot be checked against what a person actually agreed to receive. Speakers said consent today is often broad or manufactured, and earlier attempts like the Digital Consent Acquisition mechanism failed as businesses feared customer fatigue. A recent pilot of a revocable consent system has worked, but is not yet operationalised. Meanwhile, spam is shifting to WhatsApp and RCS, raising questions whether TRAI's rules should apply to internet platforms.

Indian Opinion Analysis

The roundtable coverage by MediaNama, reported under the Chatham House Rule, is a neutral-report framing of a policy debate. Both sources present the same event and focus on technical and regulatory gaps without taking sides. The pro-government view is absent, the framing is uniformly critical of the current TRAI approach, but from a factual, non-partisan angle. The key takeaway is that the consent system, which could resolve the spam definition problem, already exists in regulation but has not been activated. Readers should watch for TRAI's next steps on operationalising the consent layer and for any DoT or MeitY decision on regulating spam on messaging apps.

Coverage: 2 sources, 2 neutral


Sources (2): medianama.com (neutral report), medianama.com (2) (neutral report)

This story was synthesised by AI from the 2 sources linked above. Methodology and corrections.

Updated: this story now draws on 2 sources.

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