Key Points

The Indian government has selected five groundbreaking AI projects aimed at enhancing technological safety and reliability. These initiatives focus on critical areas like deepfake detection, forensic analysis, and bias reduction in AI models. Institutions like IIT Jodhpur and IIT Madras are leading the charge in developing innovative solutions. The projects represent a significant step towards responsible and ethical AI development in India.

Key Points: IndiaAI Unveils 5 Safe AI Projects to Combat Deepfakes

  • Five cutting-edge projects selected from 400 proposals
  • Addressing deepfake detection through advanced technological interventions
  • Targeting gender bias in AI agricultural models
  • Developing robust evaluation tools for generative AI systems
2 min read

IndiaAI selects 5 projects to advance safe and trusted AI in country

Government launches breakthrough AI initiatives targeting deepfake detection, bias reduction, and ethical technology development across Indian research institutions

"Translating 'Safe and Trusted AI' into practice - IndiaAI Official Statement"

New Delhi, Oct 7

The government on Tuesday announced the selection of five projects under the second round of its expression of interest for the 'Safe and Trusted AI' pillar under the programme launched by IndiaAI.

The selected projects will advance real-time deepfake detection, strengthen forensic analysis, address bias in AI models, and build robust evaluation tools for generative AI, ensuring that AI systems deployed in India are reliable, secure, and inclusive, according to an official statement.

A business division under the Ministry of Electronics and IT, IndiaAI, announced that the projects were selected for governmental support from over 400 proposals submitted by academic institutions, startups, research organisations, and civil society groups, after a review by a multi-stakeholder technical committee.

Collectively, these projects translate "Safe and Trusted AI" into practice, combining resilience testing and bias audits to support the responsible development and deployment of AI, the statement said.

The selected projects will focus on real-time voice deepfake detection, analysis for audio-visual and signature forgeries, evaluation of gender bias in agricultural large language models, and the development of penetration-testing tools for large language models and generative AI.

A multi-agent retrieval-augmented generation framework for deepfake detection and governance will be spearheaded by the Indian Institute of Technology Jodhpur in collaboration with IIT Madras. IIT Mandi and the Directorate of Forensic Services in Himachal Pradesh will develop AI Vishleshak, improving audio-visual deepfake detection and signature forgery detection, the ministry informed.

IndiaAI, a division of MeitY, serves as the implementation agency for the IndiaAI Mission. The mission focuses on democratising AI benefits, enhancing India's leadership in the field, promoting technological self-reliance, and ensuring ethical and responsible AI usage, the statement noted.

- IANS

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Reader Comments

R
Rohit P
Finally addressing AI bias in agriculture! As someone from a farming family, I've seen how tech can sometimes overlook rural realities. Hope this brings more inclusive solutions for our farmers.
A
Arjun K
Good step but implementation is key. We've seen many government initiatives start with great fanfare but struggle with execution. Hope this delivers real results on the ground.
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Sarah B
Impressive that they received 400+ proposals! Shows the vibrant AI ecosystem in India. The collaboration between IITs and forensic services is particularly smart - combining academic excellence with practical applications.
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Vikram M
Atmanirbhar Bharat in AI! 🚀 This is exactly what we need - homegrown solutions for our unique challenges. The focus on ethical AI will help build public trust in these technologies.
M
Michael C
As someone working in cybersecurity, I appreciate the focus on penetration testing for LLMs. Many companies are rushing to deploy AI without proper security audits. This framework could become a global standard.

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