The IndiaAI Mission seeks to democratize the benefits of AI, foster technological self-reliance, and ensure responsible AI use, aligning with the government's vision for inclusive growth.

The mission encompasses seven key areas, including computing, foundational models, datasets, applications, skill development, startups, and safe AI.

IIT Jodhpur will focus on 'machine unlearning' to enable AI models to forget specific training data, while IIT Roorkee will work on generating synthetic data to reduce bias.

Amrita Vishwa Vidyapeetham and TEC will collaborate on Track-LLM, which focuses on transparency and risk assessment of large language models.

The IndiaAI Mission has selected eight Responsible AI projects as part of its initiative to promote ethical AI development across various themes in the country.

These projects were chosen from over 2,000 proposals submitted by academic institutions, startups, research organizations, and civil society in response to the IndiaAI Mission's expression of interest.

The initiative aims to address critical challenges such as AI bias, enhance privacy, and establish frameworks for explainable and trustworthy AI.

The Ministry of Electronics and Information Technology emphasized the need for indigenous governance tools that cater to India's unique challenges in AI development.

The selected institutions include IIT Jodhpur, IIT Roorkee, NIT Raipur, and DIAT Pune, among others, collaborating with several technology firms and institutes.

The National Institute of Technology, Raipur, is tasked with developing responsible AI strategies for bias mitigation in healthcare systems.

The Defence Institute of Advanced Technology in Pune is partnering with Mindgraph Technology to create a framework for explainable and privacy-preserving AI for security.

These projects aim to develop indigenous tools, frameworks, and guidelines for ethical, transparent, and trustworthy AI technologies.