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India navigates twin -friendly of our time, which is increasing the climate crisis and the technical revolution to grow rapidly. It has a powerful opportunity to lead the world in preparing climate flexibility through artificial intelligence (AI). This is more than a moment of effect, with the nation’s co-chairman A-Chairman A-Chairman A-Chairman in the United Nations and the G20; This is a call to take action. AI, when the satellite is combined with data, we may have eyes in the sky and our initial warning system on the ground to track the harvesting in real time, predicts floods before the strike, and makes pollutants accountable with data-powered accuracy. But to unlock this promise, we must build a framework that is not only technology-loving, but only, transparent and accessible for all. The future of climate action is digital, and India has a chance to do it right.
According to the World Meteorological Organization (WMO) and other United Nations Organizations, India suffers an estimated annual loss of about 87 billion dollars due to climate -related disasters, a stunning figure that outlines the urgency of future -saying and preventive climate action. From Heatwaves to a deadly cyclone along the east coast in Delhi, the impact is felt in every part of the nation with increasing intensity. In this situation, AI, when used with remote sensing techniques and geopolitical satellite data, may be a transformative change.
AI can be a silent seer, can monitor ecosystems in real time and set fire to illegal logging, shrinking mangroves, glacier retreat, and wildfire with unmatched speed and accuracy. With Google Earth engines such as equipment, India’s Bhuvan and Risat satellites, with indigenous systems, produce important data, which can process AI algorithm to mark the rapid environmental hazards. Beyond this surveillance, machine learning and deep learning models can re -connect the method in which we predict disasters today by analyzing atmospheric changes for historical weather trends, soil conditions and floods, landslides and forecasts for the forecast of cyclones, which thousands of people save lives.
AI is actually increasing emission tracking by monitoring pollution from factories, traffic and agricultural practices, which will ensure that India’s carbon accounting is accurate and alliance with its national level contribution (NDC) under the Paris Agreement.
While the AI climate makes great promises to flexibility, it is a reality that it is just more than technology and data. It demands an auxiliary ecosystem, including real -world pilots, forward -looking policies, inclusive economic plan and strong cooperation in areas. Many promising case studies and strategic routes show how India can lead for example. In Tamil Nadu, the AI-based flood forecast model has already helped to predict urban floods with greater accuracy, assisting disaster preparations in Chennai. The AI-operated systems launched at the Pench Tiger Reserve Pantra in Maharashtra can differentiate between smoke and clouds, lowering false alarms. These systems use infrared techniques to detect fire in both day and night, enabling 24×7 monitoring. AI Tamil Nadu has India’s AI flood forecasting and fire detections in Maharashtra to G20 innovations such as US electric vehicles and AI-operated forests of Brazil to monitor AI-driven forests, are changing emissions trekking and climate flexibility globally, converting emissions and climate flexibility, exposing the needs of supporting policies and cross-fans.
In parallel, India can lead the AI model to the AI model tailor AI model for tropical, drought-prone and monsoon affected scenarios. Under the G20 push for the inclusive AI regime, a global South Working Group and a shared AI Gyan Hub can create a democratization of access to computing resources, datasets and regulatory best practices. Prime Minister (PM) Narendra Modi underlined India’s AI Vision in the G20, which promotes inclusion and global equity in addition to innovation. To guarantee that AI development is open, justified, and available to all countries, not only a few, they urged the establishment of strong international standards. According to Modi, the Ethical AI regime should keep the special needs of developing countries first, which can enable them to remove historical obstacles and pursue sustainable development, renewable energy and climate flexibility.
To translate AI’s promise in a solid effect for climate flexibility, India must take a multi-dimensional approach. First, it is important to integrate AI into the National Climate Policy. Under the National Action Plan on Climate Change (NAPCC), the missions, such as the Himalayan ecosystem and focused on sustainable agriculture, provide fertile land for the AI-operated scale-up. With devices such as satellite imaging, prepaid analytics and remote sensing, these missions can benefit from sharp decision making and real -time accountability. Second, Institutional capacity should be strengthened. You can catalyze platform mentorship and scalable innovation like NITI Aayog, Indiaai, The Global Partnership on Artificial Intelligence (GPAI), and Sustainovate of Neeri. third, India should actively launch supporting pilots and regulatory framework. Successful models such as AI-LED flood forecasting in Chennai, heat valanarity mapping in Delhi, and wildfire detection in Pench Reserve should be scalled in other states through inclusive funding and smart governance mechanism.
There is a need to protect equally important transparency and equity. This means that the creation of open-access AI data ecosystems, making the disclosure of climate effects compulsory, embedding community-operated indices in the outline of the AI decision, and ensuring that the groups of margins are neither excluded nor deprived. Finally, India should champion South -Dakshin cooperation. By operating PM Modi’s G20 satellite mission proposal, India can help in pool sensing, processing and AI resources to create a shared digital public good for the global South. This will not only democratizing access to state -of -the -art climate technologies, but will also promote the future of a more equitable, cooperative and flexible planets.
Innovation alone is not enough; It should be supported by strong institutional willpower. To lead an AI-managed climate flexibility for India, it must take decisive policy steps. First, the government should encourage the development of clean and sustainable AI infrastructure through targeted subsidy, green procurement policies and energy-efficient data centers. Second, Promoting across the border across AI cooperation through platforms such as G20, GPAI, and South-South Participation, is required to share knowledge, equipment and technologies to suit diverse climate challenges. At the end, India should ensure that data justice should be embedded in its AI framework to become a fundamental principle in social-environmental equity AI design, deployment and governance. The future of climate action is digital, and India now stands in a significant moment to code that future with foresight, fairness and purpose.
This article is written by Tausef Alam, Research Lead, Rajya Sabha and Zainab Fatima, Student, Ballas Hindu University.
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