TRAI releases Consultation Paper on " Leveraging Artificial Intelligence and Big Data in Telecommunication Sector"

Aug 05, 2022 | by TeamLease RegTech Legal Research Team

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Industry Specific ComplianceThe Department of Telecommunications (DoT), on August 05, 2022, through its letter dated 6th June 2019, has requested TRAI, under section 11(1)(a) of the TRAI Act of 1997, to furnish recommendations on provision no. 2.2(g) of NDCP-2018 i.e. "Leveraging Artificial Intelligence and Big Data in a synchronized and effective manner to enhance the overall quality of service, spectrum management, network security, and reliability".

The consultation paper presents use cases of Artificial Intelligence (AI) and Big Data (BD) in the areas such as Quality of Service (QoS), Spectrum Management, and Network Security. The paper also presents examples of Al and BD already deployed in the telecom networks by the operators in India and other jurisdictions. Use cases that are under consideration by the telecom operators have also been discussed in the paper.

It has been noted that 5G and beyond networks will provide a plethora of data that may be useful for telecom as well as other sectors. Edge Computing in the 5G era may offer opportunities for other sectors to train. validate and run their Al models in the telecom networks, 5G and beyond networks may also offer privacy-preserving architectures to adopt and accelerate Al and BD in other sectors.

The Authority also took a view of developments happening in the 6G and possibilities emerging in the 6G era to leverage AI and BD in telecom as well as other sectors where telecom can play an important and crucial role.

In view of the above, the Authority decided to widen the scope of consultation and also cover areas where 5G and beyond networks may enhance the capabilities of other sectors to make use of Al and BD.

The paper covers opportunities and risks in the adoption of AI and BD such as unethical use, bias in data and algorithms, privacy, model instability, and regulatory and legal non-compliance. Ways and mechanisms to mitigate risks have also been covered. It also suggests managing risk as a design principle.

For Al to function, data is essential. The paper lists out the constraints in the availability and accessibility of data. Another challenge for Al is the availability of Al-specific infrastructure. Adequate availability of skilled manpower in Al is also a constraint in the adoption of Al. If privacy concerns are not addressed and trust is not instilled among the users, then it may become one of the biggest concerns in the adoption of Al. The paper deliberates various privacy concerns and their impact on developing intelligent solutions.

[Press Release No. 51/2022]


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