Generative AI for Social Good and Sustainable Development

Generative artificial intelligence (GenAI) occupies a prominent position within the field of AI, offering a powerful instrument for tackling urgent global issues related to enhancing societal well-being and promoting sustainable development. It possesses an inherent capability to generate a wide range of data-driven content, including varied modalities like text, graphics, music, and other forms. This study examines the diverse and intricate impact of GenAI on the progress of societal well-being and the principles of sustainability. The study presents a range of applications that make use of GenAI which span various domains, including personalized healthcare, equitable education, disaster response, and humanitarian aid. The study’s investigation encompasses the complex interrelation between GenAI for Sustainable Development and the Sustainable Development Goals (SDGs) established by the United Nations. This analysis unveils GenAI as a valuable partner in tackling environmental issues such as mitigating climate change, managing resources, and developing clean energy solutions. We also present empirical case studies that demonstrate the significant effects of GenAI in practical settings. In anticipation of future developments, the future directions delineate the trajectory for more scholarly investigations, placing significant emphasis on the importance of multidisciplinary cooperation and continuous advancement. In summary, this chapter highlights the significant contribution of generative AI in promoting social welfare and sustainable progress.