Building an AI Governance Testing Framework for Safer, More Transparent and Trustworthy AI
TRACK-LLM is an AI Governance Testing Framework being developed by Amrita Vishwa Vidyapeetham in partnership with the Telecommunication Engineering Centre (TEC), Department of Telecommunications, Government of India, under the Safe & Trusted AI pillar of the IndiaAI Mission.
As Large Language Models (LLMs) become increasingly embedded in digital services, enterprise systems, education, healthcare, governance and everyday decision-making, the question is no longer only how capable an AI system is.
An equally important question is:
How do we know whether an AI system can be trusted in the context in which it is being used?
TRACK-LLM seeks to contribute towards answering this question by developing approaches for the governance testing of Large Language Models and their downstream applications.
Project at a Glance
- Project: TRACK-LLM
- Full Title: Transparency, Risk Assessment, Context & Knowledge for Large Language Models
- Theme: AI Governance Testing Framework
- National Initiative: Safe & Trusted AI Pillar, IndiaAI Mission
- Institutions:
Amrita Vishwa Vidyapeetham
Telecommunication Engineering Centre (TEC)
- Government Partners:
IndiaAI Mission, Ministry of Electronics and Information Technology
Telecommunication Engineering Centre, Department of Telecommunications, Ministry of Communications
- Focus Area: Responsible and Trustworthy evaluation of Large Language Models and their downstream applications
- Status: Under Development
