On July 20, the Telecom Regulatory Authority of India (TRAI) issued guidelines on “Leveraging Artificial Intelligence and Big Data in Telecommunication Sector,” emphasising the urgent need for the creation of a framework based on risk to govern AI use cases. The regulatory body recommended that the telecom industry use AI, machine learning, and big data to combat spam and handle grievances.
Following a directive from the Department of Telecommunication (DoT), TRAI published the suggestions in an effort to effectively use AI and big data to “improve the overall quality of service, spectrum management, network security, and reliability.” The TRAI also developed a risk-based regulatory framework that should be put into place in light of the impact of AI on all industries after conducting conversations about it with various stakeholders.
To enable the development of responsible AI and to control use cases in India, the regulatory framework advises creating an independent statutory authority as soon as possible. According to TRAI, the organisation should be known as the “Artificial Intelligence and Data Authority of India” (AIDAI). Additionally, it states that the AIDAI must develop regulations on a variety of AI-related topics, including its responsible use, define responsible AI principles and demonstrate how they apply to specific AI use cases based on risk analysis, and develop a framework based on its analysis, international best practises, and public input.
Trai makes suggestions about AI and asserts the urgent need for a regulatory framework that is relevant to all fields in the development of responsible AI. The regulatory framework should make sure that certain AI use cases are governed on a risk-based basis, where high risk use cases that have a direct impact on humans are regulated through legally enforceable requirements.