Abstract :
[en] The rapid advancement of artificial intelligence (AI) toward and beyond human-level performance
in an increasing number of cognitive domains constitutes a civilisational inflection point
that profoundly challenges established intellectual, psychological, and social frameworks. This
paper proposes a multi-dimensional taxonomy comprising nine continuous axes — Optimism,
Openness, Trust, Centralisation, Speed, Rationality, Control, Altruism, and
Transhumanism — designed to characterise and analyse the diversity of human postures
in response to this AI revolution. Each axis is grounded in established theoretical frameworks
from psychology, sociology, economics, political philosophy, and science and technology
studies. The taxonomy does not propose a classification that assigns individuals to fixed
categories; rather, it offers a simplified coordinate system for self-localisation, enabling each
person to situate themselves within a multi-dimensional posture space, understand the tradeoffs
inherent in each posture, and anticipate plausible evolutionary trajectories. For each
axis, we systematically identify psychological and sociological advantages and disadvantages
of positions along the continuum. We ground the framework in a convergence analysis
of six independent theoretical traditions — Rogers’ diffusion of innovations, Douglas and
Wildavsky’s cultural theory of risk, Schwartz’s theory of basic human values, the Big Five
personality model, Cloninger’s psychobiological temperament, and Cacioppo and Petty’s need
for cognition — to derive six fundamental archetypal profiles that recur across cultures and
historical periods. We then analyse five evolutionary trajectories showing how individuals
traverse subsets of these archetypal profiles through three successive phases of adaptation to
a major AI disruption, and demonstrate that certain profile transitions are psychologically
and axiologically inaccessible from given starting positions. This work contributes to the
emerging interdisciplinary field at the intersection of AI governance, technology acceptance,
and the psychology of change.
