AI for Social Good: Leveraging Technology to Address Global Inequalities

Abstract

This study aimed to explore the potential of artificial intelligence (AI) in addressing global inequalities by examining its applications, challenges, and opportunities in healthcare, education, economic inclusion, and crisis response. The research employed a qualitative design, using semi-structured interviews with 31 participants selected through purposive sampling. Theoretical saturation guided participant recruitment, ensuring comprehensive insights. Data collection was conducted online, and interviews were transcribed verbatim. Thematic analysis was performed using NVivo software, enabling the identification of key themes and subthemes related to AI's role in mitigating inequalities. The analysis revealed four primary domains where AI contributes to reducing inequalities: healthcare, education, economic inclusion, and crisis response. Participants highlighted AI’s potential in telemedicine, personalized learning, job matching, and disaster prediction. However, significant challenges were identified, including ethical concerns such as algorithmic bias, accessibility barriers due to digital divides, and governance issues related to regulatory gaps. Participants emphasized the importance of inclusive collaboration, capacity building, and policy innovations to enhance AI's societal impact. Artificial intelligence holds transformative potential to reduce global inequalities, but its implementation must be guided by ethical frameworks, inclusive policies, and robust governance. Addressing challenges such as algorithmic bias, digital literacy gaps, and socio-cultural resistance is critical for ensuring that AI technologies serve as equitable tools for social good. The study underscores the need for cross-sector collaboration and tailored AI solutions to maximize its benefits for marginalized communities.