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Subject: search.filters.subject.ethical AI

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    PublicationOpen Access
    Review-Based Conceptual Framework for Generative AI in Urban Disaster Management
    (Sri Lanka Institute of Information Technology, 2026-05-21) Samadhi, L. A. S. S. S; Dilshan, O.A.P; Galappaththi, K
    Natural disasters, including floods and earthquakes and cyclones and wildfires, create ongoing dangers to human life and critical infrastructure and worldwide socioeconomic stability. The rising occurrence and intensity of these events require disaster management systems that can think and respond and adapt to changing needs. Generative Artificial Intelligence (GenAI) has become the dominant framework for disaster response activities. The system can create realistic simulations of disaster situations by processing extensive multimodal data. The research investigates how GenAI functions in disaster management while focusing on disaster prediction and damage assessment and response planning and resilience building. The system enables crisis management through its advanced satellite image analysis and social media text processing and sensor data evaluation and visual record assessment. The collaborative process of creating models enables urban resilience planning through scenario simulation because it shows disaster effects under different conditions. Data privacy issues together with ethical challenges and model reliability problems and misinformation risks remain as major obstacles. The study combines existing research to describe what GenAI currently achieves and what it cannot do in disaster management while presenting future research routes that will help build AI systems which are safe and reliable and beneficial for human users and will boost worldwide disaster resilience.
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    PublicationOpen Access
    Artificial Intelligence and the Future of Mental Health: Innovations, Challenges, and Ethical Imperatives
    (School of Psychology. Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Jayalath, J.G
    Artificial Intelligence (AI) is increasingly viewed as a promising tool for improving access to and scalability of mental health services, particularly thrrough application such as Chatbot, predictive modeling and emotion recognition technology.However, its integration raises significant ethical and psychological concerns, including algorithmic bias, privacy violations, and the potential erosion of human empathy. This qualitative integrative review aimed to critically examine the dual role of AI in mental health, synthesizing evidence on its efficacy and ethical challenges. The study systematically searched Scopus, Google Scholar, PubMed, and PsycINFO databases, employing a structured search strategy. From an initial pool of 70 papers, 10 high-impact studies were selected based on rigorous inclusion criteria (peer-reviewed, focus on AI applications, ethical/psychological implications).