Author(s): Julia Müller

Abstract: Artificial Intelligence (AI) has emerged as a powerful tool, providing new opportunities to tackle complex global challenges. The integration of AI technologies in humanitarian efforts has proven to be transformative, enabling more effective responses to crises, improving healthcare, enhancing education, and promoting sustainable development. This paper explores the various applications of AI in social good, focusing on its role in disaster response, health interventions, and environmental sustainability. AI-powered systems are enhancing disaster prediction models, enabling quicker and more accurate humanitarian responses. In healthcare, AI is improving diagnostic accuracy, providing personalized treatment plans, and helping to bridge healthcare gaps in underserved regions. Furthermore, AI’s potential to monitor environmental changes and predict future risks is critical in the fight against climate change. The paper also discusses the ethical considerations associated with AI in social good, particularly in terms of data privacy, algorithmic bias, and the need for inclusive policies that ensure equitable access to AI benefits. Through a review of current case studies and initiatives, this paper emphasizes the importance of collaborative efforts between governments, private sectors, and non-governmental organizations (NGOs) in maximizing AI's potential for positive societal impact. The article concludes by offering recommendations for future research and policy development to better align AI innovations with humanitarian goals.

DOI: 10.33545/27076571.2026.v7.i1a.234

Pages: 05-09 | Views: 65 | Downloads: 34

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