Artificial intelligence (AI) has brought transformative changes to many fields outside of computer science, including recent significant advances in knowledge discovery and generative AI. The goal of “AI for social impact” is to explore the intersection of AI and social good, aiming to develop AI solutions and techniques specifically to address the most pressing and hardest societal challenges.
Examples include but not limit to public health, healthcare, inequality, education, climate change, environmental sustainability, and urban planning. This field is inherently a multidisciplinary area, requiring insights and knowledge from technology, fundamental science, and social science to ensure that AI solutions are designed and implemented in ways that can positively influence the society.