Abstract

The internet has transformed human society, reshaping how we work, learn, and spend our free time. Artificial Intelligence (AI) is now driving a new frontier of innovation across education, business, corporate practice, security, and public policy. With deep learning and robotics, AI systems are creating both disruptive and enabling impacts on governments, industry, and global sustainability efforts. As the AI revolution unfolds, it presents dual possibilities: a utopian future of human-machine collaboration or a dystopian one marked by conflict, poverty, and social fragmentation. Against this backdrop, the present study examines AI and robotics as innovations in science for sustainable development, with particular emphasis on science education. Based on a review of recent literature, promising research across diverse fields highlights the potential of AI to address fundamental societal challenges, including climate change, economic resilience, poverty reduction, and social sustainability. However, a critical gap persists: while AI advances rapidly, science education curricula and teacher preparation lag in integrating real-world AI applications, datasets, and ethics needed to develop a workforce capable of steering AI toward sustainable outcomes. This study contributes by: providing a comprehensive overview of AI innovations that directly support the United Nations Sustainable Development Goals, analyzing how these innovations create new pedagogical demands for science education, and outlining future research avenues that align AI development with educational reform. The findings suggest that bridging AI and science education is essential to ensure technological progress translates into equitable, secure, and sustainable societies.

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