Abstract
Artificial intelligence (AI) is receiving increasing attention for its potential to support sustainability in higher education. As both users and developers of AI technologies, universities are well-positioned to advance environmental and social goals while ensuring that AI is used responsibly. This scoping review examines two related areas: AI for Sustainability, which involves using AI to achieve sustainability outcomes, and sustainable AI, which focuses on reducing the direct environmental and ethical impacts of AI itself. The review examines how these concepts are defined in literature, the field's evolution over time, and the potential or increasing application of AI in sustainability practices by universities. While there are promising examples of the use of AI to advance sustainability projects, including AI used for energy management, climate monitoring, and green campus programs, many of these efforts are still limited in scale and lack clear ethical or environmental guidelines. In addition, much of the current research is either conceptual or based on small-scale pilot projects, with few studies assessing long-term impact or full institutional adoption and commitment. The outcome of the review is intended to provide a structured overview of the extant of work in the area; identify research gaps, and introduce the concept of a future green campus. It argues that future research should focus on testing AI tools in real university settings, measuring their environmental impact, and developing policies that combine ethical and sustainability goals. Greater involvement from students, staff, and faculty will also be essential to ensure that AI supports a fair and sustainable future for higher education.