New Delhi: TRAI has instructed all telecom companies to use an AI and Machine Learning system called UCC_Detect to identify and take action against senders of commercial messages not registered as per the rules.
All telecom companies have been asked to follow the instructions and provide an update on their actions within thirty days.
TRAI defines unregistered telemarketers (UTMs) as entities that use 10-digit mobile numbers to send commercial messages or make calls without registering with access providers.
TRAI is taking steps to reduce Unsolicited Commercial Communication (UCC), which causes inconvenience to the public.
Although measures have reduced complaints against registered telemarketers (RTMs), UCC from unregistered telemarketers (UTMs) remains a problem.
UTMs sometimes deceive customers by sending messages with fraudulent links and phone numbers, leading to financial loss.
To tackle UTMs, TRAI wants access service providers to implement the UCC_Detect System, which uses AI and Machine Learning and complies with TRAI’s Telecom Commercial Communication Customer Preference Regulations, 2018 (TCCCPR-2018).
Access service providers have implemented detection systems based on their own suitability and feasibility.
However, these systems are not fully capable of detecting the evolving techniques used by UTMs.
TRAI has therefore directed all access providers to deploy an AI and Machine Learning-based UCC_Detect system that can adapt to new signatures, patterns, and techniques used by UTMs.
Companies must also share information with other access providers using the DLT platform.
Access providers must ensure that the UCC_Detect System identifies senders who send bulk Unsolicited Commercial Communications without complying with the regulations.
