Lok Sabha Question No. 1589 (UNSTARRED), answered on 2024-12-04
Subject: India AI Mission
Ministry: ELECTRONICS AND INFORMATION TECHNOLOGY
Asked by: Smt. Sajda Ahmed

## GOVERNMENT OF INDIA MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY

## LOK SABHA

## UNSTARRED QUESTION NO. 1589

TO BE ANSWERED ON:  04.12.2024

## INDIA AI MISSION

## 1589.     SMT. SAJDA AHMED:

Will the Minister of ELECTRONICS AND INFORMATION TECHNOLOGY be pleased to state:

- (a)  the detailed allocation of the Rs.10,372 crore budget for the India Artificial Intelligence (AI)Mission;
- (b) whether the Government has framed timeline for AI supercomputing infrastructure with over 10,000 and if so, the details thereof alongwith its expected capabilities;
- (c)  whether the Government has formulated policy for monitoring the ethical guidelines and governance frameworks under the Safe & Trusted AI pillar; and
- (d)    if  so,  the  details  thereof  and  the  measures  being  taken  to  ensure  the  availability  and quality of datasets on the India AI Datasets Platform?

## ANSWER

## MINISTER OF STATE FOR ELECTRONICS AND INFORMATION TECHNOLOGY (SHRI JITIN  PRASADA)

- (a):   Union Cabinet led by Hon'ble Prime Minister Shri Narendra Modi ji has approved the IndiaAI Mission on 7 th March 2024, a strategic initiative to establish a robust and inclusive AI ecosystem that aligns with the country's development goals. This mission is driven by a vision  to  position  India  as  a  global  leader  in  artificial  intelligence  by  focusing  on  seven foundational pillars.

By democratizing access to computing resources, enhancing data quality, nurturing homegrown AI  expertise,  attracting  top  talent,  fostering  industry  partnerships,  supporting startup ventures, promoting socially impactful AI projects, and emphasizing ethical practices, the mission seeks to foster responsible and inclusive growth within India's AI landscape.

The implementation of 'IndiaAI Mission' with a total outlay of Rs. 10,371.92 Cr is for a period of 5 years. The allocation of budgetary outlay among the key pillars is below:

| Components                                 | Total Expenditure (₹ Cr)   |
|--------------------------------------------|----------------------------|
| IndiaAI Compute Capacity                   | 4563.36                    |
| IndiaAI Innovation Centre (IAIC)           | 1971.37                    |
| IndiaAI Datasets Platform                  | 199.55                     |
| IndiaAI Application Development Initiative | 689.05                     |
| IndiaAI FutureSkills                       | 882.94                     |
| IndiaAI Startup Financing                  | 1942.5                     |
| Safe &Trusted AI                           | 20.46                      |
| IndiaAI Overheads and Contingency@1%       | 102.69                     |
| Total                                      | 10,371.92                  |

(b):    The  IndiaAI  compute  pillar  envisions  provisioning  high-end  scalable  AI  computing ecosystem  comprising  AI  compute  infrastructure  of  10,000  or  more  Graphics  Processing Units (GPUs), over a period of 5 years. (c):   The 'Safe & Trusted' pillar within the IndiaAI Mission aims to encourage the adoption of  AI  in  a  responsible  manner  with  the  principles  of  safety,  security,  transparency,  and privacy embedded in the design of AI technology to mitigate the AI risks, placing the idea of 'AI for All' at its very core. Under this Pillar eight  Responsible AI Projects have been selected to address the need for robust  guardrails  to  ensure  the  responsible  development,  deployment,  and  adoption  of AI technologies. The projects cover a range of critical themes, including Machine Unlearning, Synthetic Data Generation, AI Bias Mitigation, Ethical AI Frameworks, Privacy-Enhancing Tools, Explainable AI, AI Governance Testing, and Algorithm Auditing Tools. The details of the selected projects are given at Annexure 1.

(d):    IndiaAI  Mission  through  IndiaAI  Datasets  Platform  Pillar  aims  to  enhance  access, quality, and utilization of public sector datasets to make them AI-ready. The beneficiaries of the non-personal datasets curated by this platform are Indian startups and researchers for the development  of AI  platforms  and  tools,  with  appropriate  security  and  privacy  controls  in place. IndiaAI Datasets Platformmay enable real-time data accessibility through secure APIbased data sharing and development of data pipelines, wherever feasible.

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## Annexure 1

## The details of the selected projects under 'Safe & Trusted AI' Pillar are as under:

| NAME OFTHE THEME                   | SELECTED APPLICANT                                                                | TITLE OFTHE PROJECT                                                                                                                                                               |
|------------------------------------|-----------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Machine Unlearning                 | IIT Jodhpur                                                                       | Machine Unlearning in Generative Foundation Models                                                                                                                                |
| Synthetic Data Generation          | IIT Roorkee                                                                       | 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 |
| AI Bias Mitigation Strategy        | National Institute of Technology Raipur                                           | Development of Responsible Artificial Intelligence for Bias Mitigation in Health Care Systems                                                                                     |
| Explainable AI Framework           | DIAT Pune and Mindgraph Technology Pvt. Ltd.                                      | Enabling Explainable and Privacy Preserving AI for Security                                                                                                                       |
| Privacy Enhancing Strategy         | IIT Delhi, IIIT Delhi, IIT Dharwad and Telecommunication Engineering Center (TEC) | Robust Privacy-Preserving Machine Learning Models                                                                                                                                 |
| AI Ethical Certification Framework | IIIT Delhi and Telecommunication Engineering Center (TEC)                         | Tools for assessing fairness of AI model                                                                                                                                          |
| AI Algorithm Auditing Tool         | Civic Data Labs                                                                   | ParakhAI - An open-source framework and toolkit for Participatory Algorithmic Auditing                                                                                            |
| AI Governance Testing Framework    | Amrita Vishwa Vidyapeetham and Telecommunication Engineering Center (TEC)         | Track-LLM, Transparency, Risk Assessment, Context & Knowledge for Large Language Models                                                                                           |

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