Systems of Global Governance in the Era of Human-Machine Convergence
Eugenio Maria Battaglia, Jie Mei, Guillaume Dumas

TL;DR
This paper explores how biological and physical frameworks can inform the design of adaptive, evolutionary governance systems for emerging technologies and climate change, addressing global inequalities and institutional challenges.
Contribution
It introduces a novel perspective by drawing parallels between neurophysiological and social systems to guide the development of resilient global governance frameworks.
Findings
Highlights the importance of mutual incentives in socio-economic systems
Identifies challenges in reaching international agreements on technology and climate issues
Proposes embedding biological principles in governance design
Abstract
Technology is increasingly shaping our social structures and is becoming a driving force in altering human biology. Besides, human activities already proved to have a significant impact on the Earth system which in turn generates complex feedback loops between social and ecological systems. Furthermore, since our species evolved relatively fast from small groups of hunter-gatherers to large and technology-intensive urban agglomerations, it is not a surprise that the major institutions of human society are no longer fit to cope with the present complexity. In this note we draw foundational parallelisms between neurophysiological systems and ICT-enabled social systems, discussing how frameworks rooted in biology and physics could provide heuristic value in the design of evolutionary systems relevant to politics and economics. In this regard we highlight how the governance of emerging…
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