AI Robustness
Open Consultations:
Background:
- Artificial intelligence (AI) and Machine Learning (ML) have gained significant traction across diverse domains, including Healthcare, Agriculture, Smart Cities, Finance, and more. Government organizations also deploy AI/ML for public services and e-governance. In the telecom industry, AI enables real-time decision-making and plays a growing role in upcoming technologies such as IMT-2030 (6G), satellite broadband, drone communication, and the Metaverse.
- The telecom sector, crucial for information exchange and digital transformation, operates within a complex ecosystem driven by AI. Here, paramount importance lies in robustness, signifying AI's ability to perform reliably under diverse, unpredictable conditions. For the telecom networks and digital infrastructure, where connectivity is indispensable, robust AI isn't a luxury; it's a necessity. Developing a Responsible AI standard in telecom is imperative to ensure robustness and safety of AI/ML systems. Robustness may encompass an AI system's response to adversarial attacks, scalability, resilience, safety, and more. Assessing robustness is vital to ascertain the AI system's trustworthiness and responsibility.
- National Digital Communications Policy-2018 mandates the synergistic deployment and adoption of AI. The National Strategy for Artificial Intelligence #AIforAll, and the Approach Documents for India, released by NITI Aayog, emphasise adoption of AI in a responsible manner in India, building public trust in the use of AI, and creating frameworks for compliance with relevant AI standards and guidelines. Telecommunication Engineering Centre (TEC), as the technical wing of DoT and the Standards Setting Organisation (SSO) in the field of telecom and related ICT sectors, recently released the Standard for Fairness Assessment and Rating of Artificial Intelligence Systems.
- Now, TEC proposes to develop a voluntary standard for assessing and rating the robustness of AI systems in telecom networks and digital infrastructure. Accordingly, TEC is initiating stakeholder consultations and invites inputs on the subject.
Other documents and links:
Contact Us:
DDG (C&B) TEC: avinash.70@gov.in
Director (C&B) TEC: dircb2.tec-dot@gov.in