TRAI Mandates AI, ML Based System to Tackle Unsolicited Commercial Communication

TRAI Mandates AI, ML Based System to Tackle Unsolicited Commercial Communication

The Telecom Regulatory Authority of India (TRAI) has issued a directive to all Access Providers, instructing them to implement an Artificial Intelligence (AI) and Machine Learning (ML) based UCC Detect system. The purpose of this system is to detect, identify, and take action against Unregistered Telemarketers (UTMs) who send commercial communications without proper registration, in accordance with the provisions of Telecom Commercial Communication Customer Preference Regulations, 2018 (TCCCPR-2018), according to the official release.

  • Make Telecom Talk My Trusted Source
  • Source of Google
  • Source of Google

Also Read: TRAI to Direct Telecom Operators to Report 5G Users Separately: Report

Challenges with Existing UCC Detection Systems

TRAI says it has been actively taking steps to curb Unsolicited Commercial Communication (UCC), which has been a major source of inconvenience for the public. These efforts have resulted in a reduction in complaints against Registered Telemarketers (RTMs).

However, UCC from Unregistered Telemarketers (UTMs) continues to persist. These UTMs often use fraudulent links and telephone numbers to deceive customers into sharing their critical information, leading to financial loss.

To effectively address the issue of UCC from UTMs, TRAI has been urging Access Service Providers to implement the UCC Detect system with the necessary functionalities outlined in the TCCCPR-2018. While some Access Service Providers have already implemented detection systems, the evolving techniques employed by UTMs require a more robust solution.

Also Read: TRAI Releases Recommendations on Ease of Doing Business in Telecom and Broadcasting Sector

Advantages of AI and ML in UCC Detection

In order to ensure uniformity and adaptability in the detection systems, TRAI has now directed all Access Providers to deploy AI and ML-based UCC Detect systems. These systems are designed to constantly evolve and keep up with new signatures, patterns, and techniques employed by UTMs.