Artificial Intelligence (AI) has proliferated rapidly in the past few years. AI is widely perceived to be a game-changer in how we generate, analyse, consume and act on information. It already drives innovation in many industrial sectors and finds applications to an ever-widening spectrum of academic fields. At the same time, it increasingly affects practically all spheres of society, from entertainment and education to how we make decisions and engage with each other. However, in tandem with its opportunities lie several challenges and underlying legal and ethical ramifications for navigating AI’s proliferation and untapped potential for sustainability. There is a lively debate on whether and how AI can help us steer towards a sustainable future, but we are only starting to understand the interface of AI and sustainability. On the one hand, many scholars and practitioners perceive AI as a valuable tool to tackle sustainability challenges, for example, from formulating and addressing research questions to driving innovation towards sustainable technologies. Highly interdisciplinary research now uses AI tools to tackle complex multi-dimensional sustainability challenges such as energy system transformation, disaster preparedness and deforestation, to name just a few. Similarly, AI-driven innovations in energy and material use systems optimization are already leading towards substantial positive environmental outcomes. On the other hand, AI is increasingly linked to negative sustainability outcomes. We are increasingly becoming aware of AI’s negative direct and indirect environmental impacts such as high energy and water use for data centres. We still do not understand well its overall environmental footprint, especially given its rapid expansion. We have an even more rudimentary understanding of the possible societal and governance ramifications, such as employment losses, manipulation of democratic processes, provision of erroneous or biased information to decision makers, or exacerbation of existing inequalities, for example, by excluding vulnerable groups in accessing AI or primarily benefitting powerful actors. To explore the promise and pitfalls at the interface of AI and sustainability, the University of Tokyo and Springer Nature are co-hosting the 2026 SDGs Symposium on 17 February 2026. The 2026 SDGs Symposium will critically discuss the opportunities and challenges offering AI for transitioning to a sustainable future and meeting the Sustainable Development Goals (SDGs). A key point of discussion will be how AI can be mobilized by different stakeholders to steer inclusive societal transformation while minimizing its negative sustainability outcomes. This reflects the strong calls that AI-related governance should transcend boundaries and require multi-level cooperation to ensure transparency, innovation, and equity. The 2026 SDG Symposium is closely aligned both with the focus of Springer-Nature and the vision of the UTokyo Compass strategy on promoting innovation, diversity, equality, and enabling early career researchers seeking to conduct socially impactful and transformative research. We wish to take this opportunity to invite renowned researchers from Japan and abroad, as well as students and young researchers, working at this interface of AI and sustainability. We wish to actively discuss how their research can explain these multifaceted phenomena and develop solutions with high societal relevance and impact. |