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AI IN CYBER DEFENSE: PRIVACY RISKS, PUBLIC TRUST, AND POLICY CHALLENGES Azizi, Abdullah; Mohammadi, Mohammad Qias; Samadzai, Abdul Wahid
Jurnal Ilmiah Dinamika Sosial Vol 9 No 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jids.v9i1.6278

Abstract

The rapid integration of Artificial Intelligence (AI) into cybersecurity systems, particularly AI-based cyber defense systems, is reshaping the landscape of digital security. This study explores the social impacts of these systems, focusing on privacy, security, and public trust. The purpose of this research is to examine the effects of AI-driven cybersecurity on individuals and society, addressing concerns such as privacy risks, security breaches, and trust in digital platforms. A systematic literature review (SLR) methodology was employed, synthesizing relevant academic studies, conference proceedings, and reports from credible databases, including IEEE Xplore, ACM Digital Library, and ScienceDirect. The results reveal that while AI-based systems improve threat detection and response times, they also raise significant concerns about data privacy, surveillance, and the potential for algorithmic bias. Additionally, the integration of AI in cyber defense has prompted debates on the ethical implications of automated decision-making and the transparency of these systems. In conclusion, while AI offers transformative benefits in cybersecurity, careful attention is required to balance its advantages with ethical and privacy considerations. This study emphasizes the need for ethical frameworks and public awareness to ensure that AI-based systems are deployed in a manner that fosters trust and protects citizens' rights.
Transforming Rural Communities through IoT: Socio-Digital Challenges and Opportunities in Afghan Agriculture Azizi, Abdullah; Himmat, Bilal; Danish, Jawad
APLIKATIF: Journal of Research Trends in Social Sciences and Humanities Vol. 4 No. 2 (2025): APLIKATIF: Journal of Research Trends in Social Sciences and Humanities
Publisher : Lembaga Junal dan Publikasi, Universitas Muhammadiyah Buton

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/aplikatif.v4i2.618

Abstract

This study investigates the challenges and opportunities associated with implementing Internet of Things (IoT) technologies in Afghanistan's agricultural sector. Using a mixed methods approach comprising surveys, interviews, and focus group discussions with 200 participants across various regions the research assesses awareness, adoption, and perceived value of IoT among Afghan farmers. Findings show that while 60% of respondents were aware of IoT, only 30% had adopted such technologies. Key barriers include inadequate infrastructure, high costs, and limited technical expertise. Social factors—such as digital illiteracy and unequal access to technology—further restrict uptake, especially in marginalized rural communities. Despite these constraints, significant opportunities exist in areas like smart irrigation, crop health monitoring, and data-driven farming. These technologies hold promises for enhancing efficiency and sustainability while promoting digital inclusion and reducing regional disparities. The study underscores the need for targeted investment in infrastructure, training, and awareness to enable broader adoption. Its insights are critical for policymakers and stakeholders seeking to advance inclusive, technology-driven agricultural development in Afghanistan.