IndiaAI Mission Picks 8 Responsible AI Projects

The Ministry of Electronics and IT stressed that these projects highlight the importance and need for robust safeguards to ensure the responsible development, deployment, and adoption of AI.
IndiaAI Mission Picks 8 Responsible AI Projects
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The government of India, through the IndiaAI Mission, has selected eight responsible AI projects in response to the Expression of Interest (EoI) furnished under the Safe and Trusted AI Pillar.

The Ministry of Electronics and IT stressed that these projects highlight the importance and need for robust safeguards to ensure the responsible development, deployment, and adoption of AI.

According to the IT Ministry, the chosen projects include the development of indigenous tools and frameworks, and establishing guidelines for ethical, transparent, and trustworthy AI technologies.

The mission will promote responsible AI projects across eight critical themes. They are:

  1. Machine Unlearning - Machine Unlearning in Generative Foundation Models

  2. Synthetic Data Generation - Design and Development of Method for Generating Synthetic Data for Mitigating Bias in Datasets; and Framework for Mitigating Bias in Machine Learning Pipeline for Responsible AI

  3. AI Bias Mitigation Strategy - Development of Responsible Artificial Intelligence for Bias Mitigation in Health Care Systems 

  4. Explainable AI Framework - Enabling Explainable and Privacy Preserving AI for Security

  5. Privacy Enhancing Strategy - Robust Privacy-Preserving Machine Learning Models

  6. AI Ethical Certification Framework - Nishpaksh: Tools for assessing fairness of AI model

  7. AI Algorithm Auditing Tool - ParakhAI - An open-source framework and toolkit for Participatory Algorithmic Auditing

  8. AI Governance Testing Framework - Track-LLM, Transparency, Risk Assessment, Context & Knowledge for Large Language Models

The Ministry further noted that after receiving over 2,000 proposals from prestigious academic institutions, start-ups, research organizations, and civil society groups, eight projects were selected after thorough evaluation.

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