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TRAI to use AI to monitor, measure network quality

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TRAI to use AI to monitor, measure network quality

  • The TRAI has recently proposed to use Artificial Intelligence (AI) to measure and monitor network quality in its new draft regulation for Quality of Service Standards.

Telecom Regulatory Authority of India (TRAI)

  • It was established by the Telecom Regulatory Authority of India Act, 1997.
  • Objective: To regulate telecom services, including fixation or revision of tariffs for telecom services which were earlier vested in the Central Government.
  • Functions: Framing regulations, guidelines and policies for the telecommunications sector in India.
    • This includes setting rules related to tariffs, quality of service, and the allocation of spectrum.
  • TRAI has the power to notify the rates at which telecommunication services are being provided in and outside India.
  • The Central Government has to mandatorily ask for recommendations from TRAI with respect to
    • The need and timing of new service providers
    • The terms and conditions of the licence to be granted to the service provider.

Composition

  • It consists of a Chairperson, not more than two full-time members, and not more than two part-time members.
  • The chairperson and the members of TRAI are appointed by the Central Government.
  • Tenure: Three years or until they attain the age of 65 years, whichever is earlier.

Government Control over TRAI

  • TRAI is not a completely independent telecom regulator.
  • Under section 25 of the Act, the Central Government has the power to issue directions which are binding on TRAI.
  • The recommendations made by the TRAI are not binding on the Central Government.
  • The TRAI is also funded by the Central Government.

Artificial Intelligence or AI

  • AI is the ability of a computer, or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
  • Although there is no AI that can perform the wide variety of tasks an ordinary human can do, some AI can match humans in specific tasks.
  • The ideal characteristic of AI is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
  • In India, NITI Aayog, has issued few guiding documents on AI issues such as the National Strategy for AI and the Responsible AI for All report.

AI vs ML vs DL

  • The term AI refers to the simulation of human intelligence by machines.
  • ML or Machine Learning is a subset of AI that involves the development of algorithms that allow computers to learn from data without being explicitly programmed.
    • ML algorithms can analyze data, identify patterns, and make predictions based on the patterns they find.
  • DL or Deep Learning is a subset of ML that uses artificial neural networks to learn from data in a way that is similar to how the human brain learns.

Prelims Takeaway

  • Artificial Intelligence
  • Telecom Regulatory Authority of India

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