A Field Guide to Decision Making

TL;DR

This paper explores how machine intelligence can enhance high-stakes decision making by improving situational awareness, framing, and risk management under complex and uncertain conditions.

Contribution

It introduces a framework for integrating machine intelligence into decision processes to address systemic and behavioral challenges in high-pressure scenarios.

Findings

Machine intelligence improves decision situational awareness.

Enhanced decision framing and flexibility through AI support.

Addresses complexity, uncertainty, and urgency in decision contexts.

Abstract

High-consequence decision making demands peak performance from individuals in positions of responsibility. Such executive authority bears the obligation to act despite uncertainty, limited resources, time constraints, and accountability risks. Tools and strategies to motivate confidence and foster risk tolerance must confront informational noise and can provide qualified accountability. Machine intelligence augments human cognition and perception to improve situational awareness, decision framing, flexibility, and coherence through agentic stewardship of contextual metadata. We examine systemic and behavioral factors crucial to address in scenarios encumbered by complexity, uncertainty, and urgency.