Raghvendra Singh Yadav

Indian Institute of Technology Indore, India

"Role of Responsible Artificial Intelligence (R-AI) in the prevention of fireforest: An Empirical study of Uttrakhand state of India"

As humanity confronts escalating socio-ecological challenges, including biodiversity loss andclimate change, the role of technology, particularly Artificial Intelligence (AI), in mitigatingthese crises becomes increasingly significant. Forest fires represent a critical global issue,devastating ecosystems, communities, and economies across continents, from the Amazonrainforest to the forests of Australia and California. This study investigates the application ofResponsible Artificial Intelligence (R-AI) in preventing forest fires, with a specific focus on theUttarakhand state of India, a region frequently affected by such devastating events.The research employs a mixed-method approach, integrating satellite imagery analysis, machinelearning algorithms, and ground-level data collection to predict and prevent forest fires. The AIsystem developed for this study is designed to detect early signs of potential fire outbreaks byanalyzing environmental variables such as temperature, humidity, and vegetation density.Additionally, the system incorporates community input and traditional knowledge, ensuring thatthe AI interventions are contextually relevant and ethically sound.Preliminary results indicate that the R-AI system significantly enhances the accuracy of firepredictions and the efficiency of response strategies, thereby reducing the incidence and impactof forest fires in Uttarakhand. Furthermore, the study explores the broader implications of usingAI for environmental conservation, emphasizing the importance of developing AI technologiesthat align with democratic principles and promote global justice.This case study underscores the potential of R-AI in addressing complex environmentalchallenges and highlights the urgent need for collaborative governance frameworks that integratelocal and global perspectives. By fostering sustainable and ethical AI practices, this researchaims to contribute to the development of resilient ecosystems and communities in Uttarakhandand worldwide. The insights gained from this study could inform global strategies for forest fireprevention, ultimately contributing to the preservation of biodiversity and the mitigation ofclimate change impacts.