🤖 AI Summary
This study addresses the systemic erosion of meaningful human participation in critical decision-making within post-AGI governance, driven by policy myopia. It pioneers a formal model framing policy short-sightedness as an endogenous mechanism of institutional disempowerment, demonstrating how it operates through three interlinked pathways—salience capture, capability cascades, and value lock-in—to generate cross-domain feedback and self-reinforcement across economic, political, and cultural systems. Employing coupled dynamical systems modeling and numerical simulations, the research simulates institutional evolution under multi-system interactions and confirms the irreversible trajectory of human disempowerment when these three mechanisms act in concert. The findings offer both a theoretical early-warning framework and potential intervention points for governance in the post-AGI era.
📝 Abstract
Post-AGI information systems won't merely distract governance from important problems. They will systematically transform how institutions make decisions in ways that progressively remove humans from meaningful participation in resource allocation. We show that policy myopia -- the tendency to prioritize visible crises over invisible structural risks -- is not a symptom of poor attention management but a mechanism producing irreversible human disempowerment. Through three entangled mechanisms (salience capture displaces consequentialist reasoning, capacity cascade makes recovery structurally infeasible, value lock-in crystallizes outdated preferences), policy myopia couples with institutional dynamics to create a self-reinforcing equilibrium where human disempowerment becomes the rational outcome of institutional optimization. We formalize these mechanisms through coupled dynamical systems modeling and demonstrate through numerical simulation that these mechanisms operate simultaneously across economic, political, and cultural systems, amplifying each other through feedback loops.