NEW DELHI, Oct 31: The Telecom Regulatory Authority of India (TRAI) has proposed a comprehensive framework to regulate the responsible use of artificial intelligence (AI) in telecommunications networks and services, seeking to strengthen accountability, improve safety standards and establish clearer governance requirements for service providers.
The proposed guidelines would require telecom operators to introduce artificial intelligence policies approved by their respective boards, establish dedicated committees to supervise AI governance and safety, and report serious incidents involving AI systems to the regulator.
The initiative comes as artificial intelligence becomes increasingly integrated into telecommunications infrastructure, influencing network management, customer services, operational efficiency and the delivery of digital services.
With telecom companies adopting automated technologies to manage increasingly complex networks, the proposed framework aims to ensure that AI applications operate within an accountable and transparent governance structure.
TRAI released the draft guidelines on Friday for stakeholder consultation, inviting comments on its proposed approach to the responsible deployment of artificial intelligence in telecommunications.
The framework, titled Guidelines on Responsible Use of Artificial Intelligence (AI) in Telecommunication Networks and Provision of Telecommunication Services, seeks to establish responsibilities for entities using AI technologies, irrespective of how the systems are developed or acquired.
According to the proposal, telecommunications companies would remain accountable for the outcomes of AI systems deployed in their networks and services, whether these technologies are developed internally, purchased from external providers, outsourced to third parties or implemented through a combination of different arrangements.
The provision is particularly significant as telecom operators increasingly depend on external technology providers for software, automated systems and specialised AI solutions.
By placing responsibility on the entities deploying these technologies, the regulator intends to ensure that accountability is not weakened when AI systems involve multiple developers, suppliers and service providers.
Board-level supervision of AI deployment
One of the major features of the proposed framework is the requirement for telecom service providers to establish board-approved policies governing their use of artificial intelligence.
The proposal places responsibility for AI governance at the highest level of corporate decision-making, indicating that the adoption of advanced technologies should not remain solely an operational or technical matter.
Board-level approval could help telecommunications companies establish formal procedures for identifying risks, monitoring AI applications and ensuring that technology deployment remains consistent with organisational responsibilities.
The proposed policies are also expected to provide a structured approach to managing AI-related concerns across different areas of telecom operations.
As artificial intelligence becomes more closely connected with critical digital infrastructure, decisions concerning its deployment can have implications beyond individual companies.
Telecommunications networks support essential communication services used by individuals, businesses, government departments and public institutions. Any disruption or failure involving automated systems could potentially affect a large number of users.
The proposed governance requirements therefore seek to encourage telecom operators to treat AI-related risks as an important part of their overall corporate and operational responsibilities.
The emphasis on board-approved policies also reflects a wider regulatory shift towards ensuring that organisations maintain clear oversight of technologies capable of influencing important business and public services.
Dedicated committees to monitor AI safety
Another important element of the draft framework is the proposal to establish dedicated committees responsible for AI governance and safety.
These committees would provide a specialised mechanism for monitoring how artificial intelligence systems are introduced, managed and supervised within telecommunications networks.
As telecom operators expand their use of automated technologies, dedicated oversight structures could help organisations identify operational concerns and strengthen internal accountability.
AI-based applications can perform a variety of functions, including analysing network performance, identifying unusual patterns, supporting customer interactions and assisting with operational decisions.
However, the growing complexity of these systems also creates challenges involving reliability, transparency and the management of unexpected outcomes.
The proposed committees would form part of the broader governance structure intended to address such concerns.
Their establishment would also encourage telecom companies to move beyond informal or fragmented approaches to AI supervision and adopt more systematic internal monitoring arrangements.
The proposal is particularly relevant for companies that rely on multiple AI applications developed by different technology providers.
Without clear oversight, organisations may face difficulties determining responsibility when an automated system produces inaccurate results or contributes to an operational disruption.
A dedicated governance mechanism could help ensure that the deployment and monitoring of these technologies remain connected to the company’s overall accountability framework.
Mandatory reporting of serious AI-related incidents
The proposed guidelines also seek to introduce reporting requirements for serious incidents involving artificial intelligence systems.
Under the framework, telecom service providers would be required to inform the regulator about significant AI-related incidents, strengthening regulatory visibility over the risks associated with automated technologies.
Incident reporting is an important component of technology governance because it can help regulators understand how systems behave in real-world operating conditions.
It can also provide information about potential weaknesses, operational failures and emerging risks that may require additional safeguards.
For telecommunications companies, reporting serious incidents would form part of their responsibility to maintain oversight of AI systems deployed across their networks and services.
The requirement could also encourage organisations to improve their internal procedures for detecting, documenting and responding to problems involving artificial intelligence.
As AI technologies become more deeply integrated into telecom infrastructure, the ability to identify and communicate serious incidents is likely to become increasingly important.
The draft framework does not treat AI deployment merely as a matter of technological innovation. Instead, it places emphasis on the responsibilities of organisations using these systems and the need for regulatory supervision.
Accountability extends to outsourced AI systems
A particularly important aspect of TRAI’s proposal is its approach to AI systems obtained from third-party developers and service providers.
Telecommunications companies frequently depend on external vendors for software, digital infrastructure and specialised technological services.
As AI adoption expands, this dependence could become more pronounced, with companies integrating externally developed tools into their networks and customer-facing operations.
The proposed guidelines seek to ensure that outsourcing or purchasing an AI system does not remove the responsibility of the telecom operator deploying it.
This means that accountability would apply even when the technology is not developed within the organisation itself.
The approach addresses an important challenge in the AI industry, where the development, supply and operation of advanced systems often involve several different entities.
A technology provider may design the software, another company may supply the infrastructure, and a telecom operator may ultimately deploy the system to deliver services.
In such arrangements, identifying responsibility can become complicated when problems arise.
TRAI’s proposed approach seeks to make clear that the organisation using an AI system in its telecommunications operations cannot avoid accountability simply because the underlying technology originated elsewhere.
The provision could encourage telecom operators to pay closer attention to the technologies they procure and the arrangements they establish with external suppliers.
It may also increase the importance of evaluating AI-related risks before integrating third-party systems into critical network operations.
AI adoption is transforming telecommunications
Artificial intelligence has become an increasingly important component of the global telecommunications industry.
Network operators are exploring automated technologies to improve operational efficiency, manage increasing data traffic and respond more effectively to changing consumer requirements.
AI-powered systems can analyse large volumes of network information, identify patterns and support decisions that would otherwise require extensive manual monitoring.
Such capabilities are becoming particularly relevant as telecommunications networks grow more complex and digital services generate increasing volumes of data.
Operators also face pressure to improve service quality while managing operational costs and maintaining reliable connectivity.
Artificial intelligence offers opportunities to address these challenges by supporting predictive maintenance, network optimisation and automated customer assistance.
However, the use of AI also introduces new governance requirements.
Automated systems may produce inaccurate results, rely on incomplete information or create difficulties when organisations attempt to understand how particular decisions were reached.
The consequences can be particularly important in telecommunications, where network reliability and uninterrupted access to communication services are essential.
TRAI’s proposal reflects the need to balance the benefits of technological innovation with safeguards designed to protect users and maintain confidence in digital infrastructure.
Stakeholder consultation to shape the framework
The release of the draft guidelines marks the beginning of a consultation process through which stakeholders can examine the proposed requirements and provide their feedback.
Telecom operators, technology companies and other relevant participants will have an opportunity to assess the implications of the proposed framework for their operations.
The consultation process is important because AI technologies are developing rapidly, and regulatory requirements must take account of the practical challenges involved in deploying them.
Telecommunications companies may need to examine their existing governance arrangements, internal monitoring systems and relationships with external technology providers while evaluating the proposal.
The framework could also encourage greater coordination between technical teams, corporate management and safety committees within telecom organisations.
The final regulatory approach will be important in determining how AI-related responsibilities are implemented across the sector.
A well-defined framework could provide companies with greater clarity about their obligations while creating consistent expectations for the deployment of artificial intelligence.
At the same time, the requirements will need to account for differences in organisational size, technological capabilities and the nature of AI applications used by different service providers.
Balancing technological growth with consumer protection
TRAI’s proposed framework comes at a time when artificial intelligence is becoming an important part of India’s expanding digital economy.
Telecommunications networks provide the foundation for online services, digital payments, cloud computing and numerous technology-driven activities.
As AI adoption increases, ensuring the reliability and security of these networks will remain a significant responsibility for service providers and regulators.
The proposed guidelines seek to address this challenge by establishing stronger corporate supervision, dedicated safety mechanisms and reporting obligations.
The emphasis on accountability across internally developed and outsourced systems is also intended to ensure that organisations remain responsible for the technologies they introduce into their operations.
For telecom operators, the proposal could make AI governance an increasingly important part of their business strategies.
Companies will need to consider not only the efficiency and commercial benefits of automated technologies but also the responsibilities associated with their deployment.
The consultation process will provide an opportunity to examine how these requirements can be implemented effectively without unnecessarily restricting innovation.
As artificial intelligence continues to transform telecommunications, the proposed framework represents an important step towards establishing clearer expectations for its responsible use in India’s digital infrastructure.