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), 2023, vol. XI, issue 3, 67-76

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: Machine learning is transforming every aspect of human life and is helpful in building resilience and improved efficient delivery of outcomes including the prediction of hazards at the earliest and aftermath consequences of hazards. Originality/value: The fundamental human rights include rights to adequate housing, food, water and sanitation, health, work/livelihood, land, security of the person and home, information, participation, and education are violated in disaster.

Keywords: Disaster management; machine learning; deep learning; human rights; law. (search for similar items in EconPapers)
JEL-codes: I1 I2 I3 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ers:ijebaa:v:xi:y:2023:i:3:p:67-76

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