it ministry ai ideas: IT ministry is seeking ideas to build responsible AI
The government has invited proposals from academic institutions and research and development organisations to build indigenously developed “tools and frameworks” that promote the just and ethical development of artificial intelligence across themes such as machine unlearning, synthetic data generation, fairness tools, bias mitigating strategies and others.
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One of the tools, for example, would be around machine unlearning to rectify “inaccuracies, biases, and outdated information that can inadvertently become ingrained in machine learning models”.
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“By facilitating the removal of undesirable learned behaviours, machine unlearning algorithms contribute to the development of more accurate, reliable, and fair AI systems across diverse domains,” the proposal document read.
Similarly, tools and frameworks for synthetic data generation, algorithm fairness, bias mitigation, ethical AI, and governance testing, the proposal calls for data gaps, mitigating privacy concerns, and promoting equitable representation.
Government-run institutions such as the Indian Institute of Technology (IIT), the National Institute of Technology (NIT) Indian Institutes of Information Technology (IIIT), R&D and private academic organisations that have pre-existing lab infrastructure with workstations, servers and other dedicated staff will be eligible to apply.
Such institutes must, however, justify completion of the project within the next two years, and ensure it is within the overarching goal of promoting fair and ethical AI utilisation. The proposals must be submitted to the ministry of electronics and information technology by January 12.
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The government has invited proposals from academic institutions and research and development organisations to build indigenously developed “tools and frameworks” that promote the just and ethical development of artificial intelligence across themes such as machine unlearning, synthetic data generation, fairness tools, bias mitigating strategies and others.
![]()
One of the tools, for example, would be around machine unlearning to rectify “inaccuracies, biases, and outdated information that can inadvertently become ingrained in machine learning models”.
Elevate Your Tech Prowess with High-Value Skill Courses
| Offering College | Course | Website |
|---|---|---|
| MIT | MIT Technology Leadership and Innovation | Visit |
| Indian School of Business | ISB Professional Certificate in Product Management | Visit |
| Northwestern University | Kellogg Post Graduate Certificate in Product Management | Visit |
“By facilitating the removal of undesirable learned behaviours, machine unlearning algorithms contribute to the development of more accurate, reliable, and fair AI systems across diverse domains,” the proposal document read.
Similarly, tools and frameworks for synthetic data generation, algorithm fairness, bias mitigation, ethical AI, and governance testing, the proposal calls for data gaps, mitigating privacy concerns, and promoting equitable representation.
Government-run institutions such as the Indian Institute of Technology (IIT), the National Institute of Technology (NIT) Indian Institutes of Information Technology (IIIT), R&D and private academic organisations that have pre-existing lab infrastructure with workstations, servers and other dedicated staff will be eligible to apply.
Such institutes must, however, justify completion of the project within the next two years, and ensure it is within the overarching goal of promoting fair and ethical AI utilisation. The proposals must be submitted to the ministry of electronics and information technology by January 12.
Discover the stories of your interest
Stay on top of technology and startup news that matters. Subscribe to our daily newsletter for the latest and must-read tech news, delivered straight to your inbox.
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