In recent years, Artificial Intelligence (AI) has become one of the most pervasive forces in the global knowledge economy. However, its rapid diffusion raises growing concerns about its impact on social equity, the environment, and collective well-being.

This track invites participants to rethink AI as a lever for shared knowledge and community co-creation, guiding technological progress toward sustainable and inclusive goals. Overcoming the idea that material growth is the primary goal of the economy is a necessary condition for putting technology at the service of the common good (Pallante & Pertosa, 2017).

Fully harnessing the potential of AI requires a paradigm shift: moving the focus from efficiency to sufficiency, from competition to care and interdependence. This vision is linked to the Great Transition Network (Raskin, 2021), which proposes a cultural and systemic transformation capable of integrating social justice, ecological sustainability, and human flourishing.

In the context of the Great Transition, the paradigm of Smart Cities evolves from efficient cities to intelligent ecosystems oriented toward collective well-being and socio-environmental regeneration. Cities become laboratories of transition, where AI and connected technologies—understood as digital commons—promote cooperation, responsibility, and conscious use of resources. In this perspective, AI becomes a lever for sustainability and urban resilience, generating social and environmental value and paving the way for more inclusive innovation (Zhang et al., 2025).

Beyond the urban realm, AI can support processes of community regeneration and models of development inspired by the principles of happy degrowth, fostering sufficiency, participation, and the care of common goods. In territorial contexts, it can facilitate knowledge sharing, collective resource management, and the emergence of fairer and more resilient economies. From this perspective, technology becomes an instrument of collective intelligence in the service of widespread and sustainable well-being (Cui & Yasseri, 2024).

How can Artificial Intelligence contribute to the transition toward sustainable and regenerative societies, promoting knowledge as a common good and development models grounded in sufficiency and cooperation?

Starting from this overarching question, the track aims to foster an interdisciplinary dialogue around key issues such as: What forms of collective intelligence can sustain regenerative and local economies? How can we measure the well-being generated by AI beyond economic growth? To what extent can AI reduce inequalities and foster social and environmental equity? What ethical design practices can guide AI toward the common good? Can AI contribute to the creation of regenerative and inclusive Smart Cities?

This track explores how AI can support models of development and well-being inspired by the principles of the Great Transition, fostering an interdisciplinary dialogue between social sciences, philosophy, economics, technology, and urban studies. The goal is to stimulate new theoretical and practical reflections on how intelligent knowledge can serve the common good, guiding the creation of ethical, inclusive, and regenerative systems that support equitable and shared well-being.