Deciding Across Scales


Deciding Across Scales emerges as a cutting-edge approach to decision-making, aiming to influence various sectors and societal levels by implementing sophisticated algorithms centered on vote delegation.

Historical perceptions of democracy have painted a distinct line between its direct and indirect models, viewing them as contrasting entities. However, recent advancements, exemplified by propositions like Suzuki's in 2013, suggest the potential to merge these paradigms, thereby creating a fluid continuum in decision-making. Deciding Across Scales seeks to impact governmental spheres and aims to carry these innovations into organizations, collectives, and businesses, providing tools that foster more profound, democratic inclusion.

In this context, AI does not simply serve as a tool; it stands as an enhancer, amplifying human decision-making capacities. It offers enriched perspectives grounded in deep analysis and thorough simulations. Moreover, with AI, we foresee a near future in which human abilities are complemented, augmented, and expanded, leading us to new horizons of understanding and action. "Deciding Across Scales" goes beyond being a mere proposition; it represents a horizon we are advancing towards, where technology and society intertwine to pursue more just, informed, and balanced decisions for the entire community.