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Saturday, March 14, 2026 7:04 AM

AI in India

India’s IT Sector Employs Over 6 Million; Govt Unveils Comprehensive AI Strategy

India’s thriving information technology sector now employs over 6 million professionals and generates annual revenues exceeding $250 billion, the government informed Parliament on Wednesday. Minister of State for Electronics and IT, Jitin Prasada, shared these insights in a written response to the Lok Sabha, emphasizing the country’s expanding footprint in cutting-edge technologies like artificial intelligence (AI). India ranks among the global leaders in AI capabilities, policies, and talent, according to international benchmarks such as the Stanford AI Index. The country also holds the position of the second-largest contributor to GitHub’s AI projects, underscoring its dynamic developer ecosystem. Prasada highlighted that India’s AI strategy is inspired by Prime Minister Narendra Modi’s vision of democratizing technology. The overarching aim is to solve India-specific challenges while fostering inclusive economic growth and employment opportunities. To achieve these goals, the government launched the IndiaAI Mission in March 2024. This initiative is designed to build a robust and inclusive AI ecosystem aligned with national development priorities. The mission operates under a seven-pillar framework: IndiaAI Compute Capacity – Offers affordable high-performance computing resources (including GPUs) to startups and MSMEs. IndiaAI Foundation Models – Focuses on developing indigenous large multimodal AI models trained on local datasets and languages, ensuring technological sovereignty. AIKosh – A unified platform integrating government and private datasets for training AI systems. IndiaAI Application Development Initiative – Targets the development of AI solutions for Indian challenges in sectors like climate resilience, agriculture, public health, governance, and learning assistance. IndiaAIFutureSkills – Aims to create a large pool of AI talent by expanding graduate, postgraduate, and doctoral programs in AI, while setting up Data and AI Labs in smaller cities. IndiaAI Startup Financing – Provides financial backing to AI-driven startups to scale innovations. Trusted AI – Promotes safe and ethical AI use by embedding governance and accountability into innovation. This holistic approach reflects India’s ambition to emerge as a global powerhouse in AI while ensuring the benefits of technology reach every segment of society. Source: IANS

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IIT Madras and Vidhi Centre Recommend Participatory AI Governance Model for Inclusive Development

A recent study by IIT Madras, in collaboration with the Vidhi Centre for Legal Policy, advocates a participatory governance model for Artificial Intelligence (AI) in India, aiming to set a global standard for inclusive AI development. The report emphasizes that involving diverse stakeholders in AI’s lifecycle enhances accountability, transparency, and fairness in AI systems. The research, spearheaded by IIT Madras’ Centre for Responsible AI (CeRAI) at the Wadhwani School of Data Science and Artificial Intelligence (WSAI), brings together technologists, legal experts, and policy researchers to explore the benefits of a participatory approach. Real-world case studies across sectors reveal how public involvement can yield AI systems that are better aligned with societal values and ethical standards. “The widespread adoption of AI has fundamentally reshaped our public and private sectors,” explained Prof. B. Ravindran, Head of CeRAI, IIT Madras. He highlighted a key finding: those impacted by AI systems often lack a voice in their development. “This study aims to close that gap by recommending participatory approaches that prioritize responsible, human-centric AI development,” he added. The report also provides a practical, sector-agnostic framework for identifying and integrating diverse perspectives throughout the AI development process. Shehnaz Ahmed, Lead for Law and Technology at the Vidhi Centre, noted that while the value of inclusivity in AI is recognized, frameworks for its implementation remain unclear. “Our findings demonstrate how a structured, participatory model can guide ethical development, especially in sensitive applications like facial recognition and healthcare,” she explained. This groundbreaking study suggests that a participatory model not only strengthens public trust but also accelerates AI’s acceptance across sectors by fostering transparency and accountability. With global relevance, the framework aims to support ethical, safe, and equitable AI practices worldwide. Source: Shiksha.com Photo Credit: Shiksha.com

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