CAG bets on AI, cyber audits and sovereign LLM to enhance public scrutiny

CAG bets on AI, cyber audits and sovereign LLM to enhance public scrutiny



At the India Artificial Intelligence (AI) Impact Summit being held in Delhi, the Comptroller and Auditor General (CAG) of India today laid out a roadmap that moves audit from sample checks and manual review to data-driven, AI-enabled assurance at scale.

 


Speaking at a session on “Leveraging Artificial Intelligence in Public Audit for Greater Transparency and Accountability”, the institution unveiled its plans to experiment with drones, computer vision and high-resolution satellite imagery to verify on-ground realities in areas such as mining leases and scheme implementation.

 


Underpinning these efforts is a plan for a “data lake house” to pool structured and unstructured data, and a sovereign large language model (LLM) for audit being developed with IITs, alongside a major skilling drive that aims to train about 5,000 officers in data science, AI and cyber security.

 
 


CAG officials said the institution has adopted a formal AI strategy framework, released in April last year, making the Supreme Audit Institution (SAI) of India one of the few globally with a published AI roadmap.

 


The framework rests on four pillars: using AI and machine learning in core audit and internal business processes, auditing AI systems deployed by government departments, large-scale capacity building of auditors and sustained research and development backed by enabling infrastructure.

 


Building on two decades of information systems (IS) audits on flagship platforms such as the income tax system, GST and IRCTC, the CAG is now pushing beyond traditional IT audits into cyber security assurance.

 


“Given the scenario of a lot of cyber attacks, we felt that over and above the certain empanelled audits we are going to do an annual audit on the identification and give an assurance on the cyber security of an application,” said K Surjith, director, office of the CAG.

 


The session showcased several concrete AI use cases already reshaping audit practice. For beneficiary-heavy welfare schemes, where tens of crores of people are enrolled, the CAG is developing an “audit toolkit” that allows even non-technical staff to feed in beneficiary images and flag duplicate or ghost entries, backed by big data analytics on entire beneficiary databases rather than limited samples.

 



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Shivraj Singh Chouhan to launch AI-enabled Bharat VISTAAR platform tomorrow

Shivraj Singh Chouhan to launch AI-enabled Bharat VISTAAR platform tomorrow


Agriculture Minister Shivraj Singh Chouhan will launch the ‘Bharat-VISTAAR’ from Jaipur tomorrow, which is an AI-based platform to provide farmers with a single window of information on weather, market prices, pests and diseases, soil, crop advisories and government schemes through phone calls, chatbots and an app.

 


This facility will be launched in Hindi and English in Phase One across several states, including Maharashtra, Bihar and Gujarat.

 


Chouhan will also launch the ‘AI for Agriculture Roadmap’ and an ‘AI Hackathon’, an official statement said. The Bharat-VISTAAR project was announced in the FY27 Union Budget a few days back.

 


On this platform, farmers will be able to view information and status related to weather, market prices, pests and diseases, soil health, crop management and at least 10 major central government schemes. It will also integrate the Indian Council of Agricultural Research (ICAR)’s package of practices, crop management and soil health card-based soil advisories, providing farmers with scientific and region-specific advice.

 
 


It has been designed as a voice-first AI platform so that even farmers with simple feature phones can avail its benefits simply by calling.

 


The telephony helpline 155261 has been integrated into the platform, and features such as voice input-output, a website and mobile site chatbot are ready, and an Android app will also be released.

 


In the first phase, Bharat-VISTAAR will also integrate weather information from IMD, market prices from AgMarkNet, pest and disease management through the National Pest Surveillance System (NPSS), Agri-Stack data and information from 10 central government schemes. It will also integrate scheme details, application status, benefit tracking and grievance filing and resolution status, eliminating the need for farmers to repeatedly visit offices or various portals, the statement added.



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India-AI Summit Day 1: Sovereign AI, jobs, global ties dominate talks

India-AI Summit Day 1: Sovereign AI, jobs, global ties dominate talks



The India-AI Impact Summit commenced on Monday (February 16) in New Delhi with policymakers, industry executives and global delegations converging at Bharat Mandapam, marking the first global AI summit of its scale hosted in the Global South. The five-day gathering brings together leaders from over 100 countries, tech companies, startups and research institutions to frame global governance and collaboration around artificial intelligence.

 

Chief Economic Advisor V Anantha Nageswaran opened Day 1 with a clear policy warning that AI adoption cannot be left to market forces alone. He said India must treat artificial intelligence as national economic infrastructure, which requires coordinated investment, regulatory clarity and institutional readiness. He cautioned that without urgency, productivity gains may remain uneven, thus widening income disparities and limiting India’s ability to convert its digital scale into sustained economic advantage.

 
 


Voice of India benchmark signals push for sovereign speech AI 

Meanwhile, India’s sovereign AI push gained technical grounding with the unveiling of a multilingual speech recognition benchmark designed to reflect India’s linguistic diversity. The benchmark, which is developed under the Voice of India initiative, evaluates performance across Indian languages and dialects, addressing gaps in global models trained primarily on English and major international languages. The effort is aimed at improving inclusion, localisation and real-world deployment of voice-based AI systems across public and private services.

 


Ethical AI is mandatory, not optional: Soha Ali Khan 

 


“I’ve watched this transformation across India as well. Young women have built businesses online. Girls are still attending stories that one side was faced by entrepreneurs,” she said.

 


AI to boost productivity, not replace jobs: Info Edge founder 

As fears around mass job losses due to the advent of AI continue to mount, Info Edge founder Sanjeev Bikhchandani sought to allay those fears, arguing AI will reshape workflows rather than eliminate human labour entirely. He said technology historically increases productivity and creates new categories of work, even as it disrupts existing roles. The shift, he suggested, will reward adaptability, with individuals and companies that integrate AI tools early likely to gain competitive advantages in efficiency and innovation.

 


AI integration in transport can improve safety outcomes

 

Meanwhile, talking about the use of AI in improving road safety in India, Pankaj Aggarwal, a senior Ministry of Road Transport and Highways official, highlighted AI’s role in improving road safety through predictive monitoring and real-time analysis. He said that AI applications include driver behaviour tracking, traffic optimisation and accident prediction systems. India, which records among the world’s highest road fatalities, is exploring AI deployment to reduce risk, enhance enforcement and improve infrastructure planning, signalling a shift toward technology-led safety governance.

 


India has highest AI skill penetration, says Jitin Prasada 

Citing India’s large base of trained engineers, developers and researchers, Minister of State for Electronics and IT Jitin Prasada said India has emerged as a global leader in AI skill penetration. He said the country’s digital public infrastructure and startup ecosystem provide a strong foundation for scaling innovation and that the government’s focus now is on expanding compute access, datasets and training to convert talent depth into globally competitive AI products.

 


India in talks with 30+ countries on deepfake regulation 

Speaking on the growing concern of deepfakes, Electronics and IT Minister Ashwini Vaishnaw said India is actively engaging with more than 30 countries to develop coordinated legal and technical responses to deepfakes. He described synthetic media as a cross-border governance challenge requiring shared standards and enforcement mechanisms. The remarks come nearly a week after the Centre asked social media platforms to create and strengthen mechanisms to identify and regulate AI-generated content.

 


AI to unbundle jobs and drive exponential growth: Microsoft India 

Microsoft India president Puneet Chandok described AI as a structural shift that will “unbundle” jobs into smaller task components, enabling automation and augmentation simultaneously. He said AI capabilities are improving at exponential rates, with adoption accelerating across sectors including finance, healthcare and manufacturing. The transformation, he suggested, will redefine productivity models, organisational structures and skill requirements over the next three years.

 


AI augmenting human capability, not replacing it: Cisco India 

Cisco India and SAARC Managing Director Daisy Chittilapilly said AI’s primary role is augmentation rather than substitution. She emphasised its ability to enhance decision-making, automate routine tasks and improve operational efficiency. Enterprise adoption is increasingly focused on embedding AI into core workflows, enabling faster analysis, improved security and smarter infrastructure management, reinforcing AI’s role as a productivity multiplier within existing organisational structures.

 


Disaster management needs legal framework for AI deployment 

A United Nations Office for Disaster Risk Reduction official highlighted AI’s growing role in predicting disasters, managing response and improving preparedness. However, the official said deployment must be backed by clear legal frameworks governing data use, accountability and operational authority. As climate risks intensify, governments are increasingly evaluating AI-driven forecasting and response systems, raising new questions around liability, privacy and cross-agency coordination.

 


Government to provide AI access to medical students 

India is expanding access to AI tools and datasets for medical students, reflecting plans to integrate artificial intelligence into healthcare training and delivery, B Srinivas, a senior health ministry official, said. AI is being positioned as a support tool for diagnostics, treatment planning and medical research, he said. The initiative will align with broader efforts to modernise public healthcare systems and ensure future doctors are equipped to work alongside intelligent systems.

 


“So the government is thinking of using the leverage of AI to reach out to these students … in the National Medical Library, we have started the process of securing the e-books and the digital clinical material, and we are doing it right now in around 57 government medical colleges across the country,” Srinivas said.

 


Qualcomm showcases humanoid robots and AI hardware 

The first day of the international mega event also witnessed a demonstration of AI-powered humanoids. Qualcomm showcased humanoid robots powered by on-device AI processing, highlighting advances in robotics and edge computing. The company showcased an integrated offering that combines hardware, software and artificial intelligence, positioning it as a complete stack intended to speed up the rollout of physical AI systems. Qualcomm said that the platform is built to support multiple use cases, from home robots and industrial autonomous mobile robots (AMRs) to full-scale humanoid machines.

 


AI will fundamentally reshape human work: Prasoon Joshi 

 


BharatGen CEO highlights sovereign AI after DeepSeek moment 

BharatGen CEO emphasised the strategic importance of sovereign AI development, referencing global competition in foundational models. He said India must build its own models trained on local datasets to ensure technological independence and relevance. Sovereign AI, he argued, is critical not just for economic competitiveness but also for cultural representation, data security and long-term digital self-reliance.

 


Copyright laws must evolve for AI era: Raghav Chadha 


Talking about copyright laws in India, Aam Aadmi Party MP Raghav Chadha said existing copyright frameworks are ill-equipped to address AI-generated content and its impact on creators. He warned that outdated legal structures risk undermining creative industries by failing to define ownership, attribution and compensation clearly.

 


“Our content creators are suffering because of restrictive policies around fair use. We must permit fair use and strike a balance between the two. In India, we are hoping for an amendment to copyright act,” Chadha said.

 


TCS, AMD expand partnership to strengthen AI infrastructure 

 


India-Germany talks focus on AI, semiconductors 


India and Germany held bilateral talks on strengthening cooperation in artificial intelligence, semiconductors and digital transformation, ANI reported. The discussions focused on joint research, mobility solutions and expanding Global Capability Centres. Both sides emphasised the importance of collaborative innovation and shared technology development, reinforcing India’s position as a strategic partner in global AI and semiconductor supply chains.

 


PM Modi inaugurates India AI Impact Expo

 

Towards the evening, Prime Minister Narendra Modi inaugurated the India AI Impact Expo, where he also interacted with various participant startups. The expo will feature over 600 high-potential startups and 13 country pavilions.



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AI adoption needs urgency and national commitment: CEA Nageswaran

AI adoption needs urgency and national commitment: CEA Nageswaran


Adoption of Artificial Intelligence requires urgency, political will and a national commitment towards aligning technology with mass employability, Chief Economic Advisor V Anantha Nageswaran said on Monday at the AI Impact Summit.

 


Speaking on the future of employability in the age of AI in a virtual address, the CEA said, “With institutional discipline and relentless execution India can become the first large society to demonstrate that human abundance and machine intelligence can reinforce and not undermine each other.”

 


Nageswaran added that this, however, would not happen by drift. He said that it has to be a team effort involving the private sector, academics as well as policymakers.

 
 


“The window is still open, but it is not indefinite. For India, this is not a debate about the future of work. It is a decision about the future of growth, social stability and cohesion. We must act and act now,” the CEA added.

 


He said that the first step towards AI adoption would begin with reforms of education, pedagogy and imparting of foundational skills. He said that countries need to move decisively by strengthening the foundation of education, high-quality skills, expanding labour-intensive service sectors and removing regulatory bottlenecks. “That is where the path to co-creating prosperity with AI and employability in the age of AI begins,” Nageswaran said.

 


The CEA said that while millions of jobs are created annually, a significant skill gap persists. He said that only a small proportion of the workforce has received formal skill training. This gap, he said, was not just statistics but a structural vulnerability.

 



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Qualcomm showcases AI humanoid robots at India AI Impact Summit: Sneak peek

Qualcomm showcases AI humanoid robots at India AI Impact Summit: Sneak peek


US semiconductor company Qualcomm on February 16 showcased its full robotics technology stack at the India AI Impact Summit in New Delhi, marking its India debut after first presenting the platform at Consumer Electronics Show in January.

 


The company demonstrated a suite spanning hardware, software and artificial intelligence, describing it as an end-to-end stack aimed at accelerating deployment of physical AI systems. According to Qualcomm, the platform is designed for a range of applications, including household robots, industrial autonomous mobile robots (AMRs) and full-size humanoids.

 


Dragonwing IQ-10 processor for humanoids and AMRs

 


At the event, Qualcomm introduced its first dedicated robotics processor, the Dragonwing IQ-10, targeted at full-size humanoid robots and advanced AMRs. The company said the processor is engineered to deliver energy-efficient performance for complex robotics workloads.

 
 


Qualcomm stated that the processor forms the foundation of its broader robotics architecture, enabling scalable performance across multiple robotic form factors.

 


Modular architecture and AI data flywheel

 


During a live demonstration of a humanoid robot, the company outlined its general-purpose robotics architecture, which integrates heterogeneous edge computing, mixed-criticality systems, software frameworks, machine learning operations and what it described as an AI data flywheel.

 


Qualcomm said the modular design allows robots to adapt to different environments and perform real-world tasks using integrated vision, audio and motion capabilities. The stack, it added, has been optimised to scale across platforms while maintaining industrial-grade reliability.

 


The company described its approach as end-to-end and modular, enabling deployment across diverse operational settings.

 


Focus on priority tasks in key industries

 


Qualcomm said it is adopting a task-based approach to robotics, concentrating on 10 priority real-world tasks across logistics, manufacturing and retail. These include item picking, case stacking, line sequencing and inventory scanning.

 


According to the company, focusing on clearly defined, high-demand tasks will enable faster commercial deployment in sectors where automation requirements are increasing.

 


Building on ADAS experience

 


Qualcomm said its robotics strategy builds on its experience in multi-criticality AI systems developed for Advanced Driver Assistance Systems (ADAS).

 


“Our stack is built on what we’ve already accomplished with our ADAS team and now we’re going to continue building on it and continue training our models on a loop so that they’re constantly learning and evolving,” the company said.

 


Qualcomm added that its humanoid systems are deployment-ready, supported by a partner ecosystem and developer tools aimed at accelerating adoption across industries.



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