Abstract
While traditional sciences treat uncertainty as an obstacle to be minimized, this paper proposes an epistemic shift: viewing uncertainty as a resource to leverage. To enact this shift, we suggest adopting improvisation-where novel behaviors are instantaneously assembled to meet unpredictable constraints-as a model for real-time adaptation and behavioral expansion. In this practice, uncertainty is not merely managed but deliberately injected to disrupt the determinism of habitual routines. By unveiling a wider space of potential paths, increasing uncertainty fosters behavioral exploration, discovery, and collective decision-making amidst dissent. This perspective resonates across scales: in neuroscience, neural uncertainty is increasingly recognized as a hallmark of cognition and volition; in artificial systems, cultivating the models' inherent indeterminism can disrupt their biased attraction toward users' expectations, boosting the open-endedness of human-model interactions and fostering cognitive emancipation. In an era of systemic unpredictability, exploring the functional utility of uncertainty through the lens of improvisation is a timely necessity for understanding natural, psychosocial, and artificial systems. We present a general overview of empirical support for this framework, the promises of this emerging perspective, and the future directions it calls for.