These projects aim to address the challenges of bias in AI, improve privacy, and establish frameworks for explainable and trustworthy AI.
The eight projects were selected from 2,000 proposals received by the Center in response to its expression of interest.
This comes close on the heels of MoS for Electronics Jitin Prasada saying the government had constituted an advisory group to formulate a framework to regulate AI.
The Union government has selected eight strategic projects to promote responsible development, deployment and adoption of artificial intelligence (AI) in the country.
Under the ‘Safe and Trusted AI Pillar’ of the IndiaAI Mission, the government received 2,000 proposals in response to its Expression of Interest (EoI). These projects aim to address the challenges of bias in AI, improve privacy, and establish frameworks for explainable and trustworthy AI.
“…India is committed to investing in agile mechanisms to develop indigenous governance tools, frameworks and guidelines based on Indian datasets and reflecting its unique challenges, opportunities and datasets. To support this vision, IndiaAI has released an EoI to promote responsible AI projects on a range of critical themes…,” the Ministry of Electronics and IT said in a statement.
A total of eight projects were selected on various themes such as machine unlearning, synthetic data generation, AI bias mitigation, ethical AI frameworks, privacy-enhancing tools, explainable AI , AI governance testing and algorithm auditing tools.
Here are the projects that were selected:
- Automatic unlearning: Focuses on developing techniques to remove learned data from AI models, thereby improving data privacy and fairness.
- Generation of synthetic data: Aims to generate synthetic data and mitigate bias in machine learning pipelines for responsible AI.
- AI Bias Mitigation Strategy: It focuses on reducing bias in AI models used in healthcare, promoting fair treatment for all users.
- Explainable AI Framework: He works on developing explainable AI models that preserve privacy, particularly for security applications.
- Privacy Improvement Strategy: It aims to create machine learning models that prioritize user privacy while maintaining robust performance.
- AI Ethical Certification Framework: It develops tools to assess the fairness of AI models, thereby ensuring ethical standards in AI deployment.
- AI Algorithm Audit Tool: It focuses on creating a toolkit for auditing AI algorithms to ensure accountability and transparency.
- AI Governance Testing Framework: It aims to create governance tools to manage large language models with a focus on transparency and risk assessment.
The projects are part of the INR 10,372 Cr IndiaAI Missionwhich was approved by the union cabinet earlier this year. The mission focuses on seven areas: computing, fundamental models, datasets, applications, skills development, startups and secure AI.
This comes at a time when the government is actively working to rapidly adopt AI, with a view to streamlining access to government services and digital public goods.
Additionally, Minister of State for Electronics and Information Technology Jitin Prasada recently said the government has constituted an advisory group to formulate a regulatory framework for AI.
Notably, the IndiaAI mission also launched AI Innovation Challenge last month, the winning team will receive a reward of up to INR 1 Cr and a “contract” to deploy their solution in government departments for four years.
