Probing Uncertainty, Complexity, and Human Agency in Intelligence

Abstract

Geopolitical dynamics associated with nuclear proliferation, the Arab Spring, the rapid rise of Chinese power, an oil-fueled Russian resurgence, and the post-Afghan and Iraq eras will demand significant changes in intelligence focus, processes, and resources. Nearly a decade after intelligence failures required a restructuring of the Intelligence Community with mandates for a scientific approach to intelligence analysis, current efforts continue to focus on overly deterministic individual analyst methods. We argue for a process-oriented approach to analysis resembling the collaborative scientific process successful in other professions that is built on shared theory and models. After demonstrating that events in the real world are path dependent and contingent on deterministic and random elements, we highlight the role of uncertainty in intelligence analysis with specific emphasis on intelligence failures. We then describe how human agency in an interconnected and interdependent system leads to a landscape of dancing strategies as agents dynamically modify their responses to events. Unfortunately, the consequences of the present deterministic intelligence mindset are significant time delays in adjusting to emerging adversaries leading to an increased susceptibility to intelligence failures. In contrast with the existing analyst-centric methods, we propose a risk management approach enhanced by outside collaboration on theory and models that embrace lessons from the twentieth-century science of uncertainty, human agency, and complexity.