Artificial Intelligence (AI) for Women'sandChildren's Safety atWorld Heritage Sites: Comparative Approaches inIndian andNepali Cities

This research delves into the often-overlooked issue of women's and children's safety at World Heritage Sites in India and Nepal. While these sites hold immense cultural, historical, and environmental significance, safety concerns persist. Through a comparative analysis, the study explores the challenges and successes of Indian and Nepalese safety strategies, with a particular focus on the potential of Artificial Intelligence (AI) for enhancing security. The research identifies women and children as particularly vulnerable due to crowded areas and inadequate security measures. Proactive solutions are crucial. It critically examines India's security protocols, highlighting the uneven effectiveness of measures like CCTV and guards. Challenges such as poor lighting and accessibility issues reinforce the need for standardized safety procedures. The study then examines Nepal's approach, including improvements in patrols, security cameras, and community participation. The contrasting safety approaches in India and Nepal offer valuable insights for collaborative improvements, particularly in the integration of AI technologies. Following an exploration of cultural influences on safety perceptions, the role of education, and legal frameworks, the research presents case studies of successful safety programs in both countries, highlighting how AI has been leveraged. Drawing from these successful projects, the study proposes legislative recommendations to enhance safety for women and children, while advocating for the responsible implementation of AI. Ultimately, the research emphasizes the importance of collaboration among stakeholders – government agencies, NGOs, local communities, and tourism authorities – to create lasting safety solutions. Prioritizing safety and exploring the responsible use of AI is essential to ensure these cultural treasures remain inclusive and respectful for all visitors while preserving heritage for future generations

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-10-21
DOI
https://doi.org/10.53555/ajbr.v27i3s.2993
Citations
1
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence (AI) for Women'sandChildren's Safety atWorld Heritage Sites: Comparative Approaches inIndian andNepali Cities

Akhilesh Kumar
1 citations
African Journal of Biomedical Research
Anomaly Detection Techniques and Applications
article

Artificial Intelligence (AI) for Women'sandChildren's Safety atWorld Heritage Sites: Comparative Approaches inIndian andNepali Cities

Akhilesh Kumar
article en
1 citations

Abstract

This research delves into the often-overlooked issue of women's and children's safety at World Heritage Sites in India and Nepal. While these sites hold immense cultural, historical, and environmental significance, safety concerns persist. Through a comparative analysis, the study explores the challenges and successes of Indian and Nepalese safety strategies, with a particular focus on the potential of Artificial Intelligence (AI) for enhancing security. The research identifies women and children as particularly vulnerable due to crowded areas and inadequate security measures. Proactive solutions are crucial. It critically examines India's security protocols, highlighting the uneven effectiveness of measures like CCTV and guards. Challenges such as poor lighting and accessibility issues reinforce the need for standardized safety procedures. The study then examines Nepal's approach, including improvements in patrols, security cameras, and community participation. The contrasting safety approaches in India and Nepal offer valuable insights for collaborative improvements, particularly in the integration of AI technologies. Following an exploration of cultural influences on safety perceptions, the role of education, and legal frameworks, the research presents case studies of successful safety programs in both countries, highlighting how AI has been leveraged. Drawing from these successful projects, the study proposes legislative recommendations to enhance safety for women and children, while advocating for the responsible implementation of AI. Ultimately, the research emphasizes the importance of collaboration among stakeholders – government agencies, NGOs, local communities, and tourism authorities – to create lasting safety solutions. Prioritizing safety and exploring the responsible use of AI is essential to ensure these cultural treasures remain inclusive and respectful for all visitors while preserving heritage for future generations

African Journal of Biomedical Research
Gender equality
Openalex Percentile: Top 83%
Anomaly Detection Techniques and Applications
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