An Analysis οf India Position in Upholding the Human Rights in Combating Disaster with the Aid of Machine Learning

Dr. Shalini Bahuguna Bachheti, Mr. Kaushal Pandey and Dr. Vivek Chamoli

International Journal of Economics & Business Administration (IJEBA), 2024, vol. XII, issue 1, 15-25

Abstract: Purpose: In this paper, the authors focus on analyzing and examining the potential of Machine learning and Deep Learning technology for better and efficient disaster management before, during, and after hazards. Design/Methodology/Approach: The authors would tend to gather the various practical implementation of such technologies across the world and offers guidance and recommendations to various disaster-prone areas of the states of India on how the leveraging of the technologies with infrastructures would enhance the better disaster preparedness and management and can be effective in protecting the human rights of victims of disaster. Findings: The authors examine the presence of an effective policy environment for rewarding innovations and the effective regulatory measures that further enhance the implementation and development of such technologies and compare all the techniques which have been used for the disaster management. Practical Implications: The internet access, smartphones, connected devices, cloud computing, artificial intelligence, and other innovations are reconstructing the course of action for measuring and monitoring the disaster risk and repercussions and bring forth the further comprehensive, accurate, timely risk analysis. Originality/value: Research has been done to create ML/DL techniques that are applicable for various types of disasters. The most studied natural disasters are floods, earthquakes, hurricanes, general type (any disaster type), and landslides.

Keywords: Disaster management; machine learning; deep learning; human rights; law. (search for similar items in EconPapers)
JEL-codes: R10 R11 (search for similar items in EconPapers)
Date: 2024
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