DECIRA research investigates how decisions are formed, structured, and executed in AI-driven systems – ensuring that intelligence translates into high-quality, aligned outcomes, not just predictions.
Cognitive Alignment
Decision Economics
Decision Interpretability
Societal Decision Systems
Cognitive Alignment
We study how decisions align with objectives, constraints, and human intent across systems.
Our work focuses on structuring decisions so outcomes reflect explicit goals and trade-offs.
We move beyond model alignment to ensure decisions remain stable under real conditions.
This enables systems that act consistently with defined purpose, not just predicted outputs.
Decision Economics
We analyze how decision quality shapes performance across organizations, markets, and systems.
Our research examines how AI changes the structure, speed, and scale of decisions.
We quantify the economic impact of better decisions using measurable quality indicators.
This defines the foundation of the Cognitive Economy as a system of decision outcomes.
Decision Interpretability
We make decisions transparent, traceable, and understandable across complex AI systems.
Our work focuses on exposing constraints, assumptions, and trade-offs behind each decision.
We shift interpretability from models to the full structure of decision processes. This ensures decisions can be audited, trusted, and improved over time.
Societal Decision Systems
We study how decision systems shape institutions, governance, and societal outcomes.
Our research examines large-scale coordination across organizations, agents, and policies.
We focus on risks emerging from poorly structured or misaligned decision architectures.
This supports the design of systems that are accountable, resilient, and aligned with society.
PUBLICATIONS
The Cognitive Economy Stack explains how AI systems transform signals into decisions and outcomes through structured cognitive infrastructure. Instead of focusing only on prediction, the framework introduces Decision Architecture as the missing layer connecting intelligence, governance, execution, and feedback.
At its core, the Cognitive Economy shifts competitive advantage from information access to decision quality. Cognitive Alignment Science provides the scientific foundation, while Decision Engineering operationalizes these principles into systems like DECIRA.
Working Papers
DECIRA research sits at the intersection of the Cognitive Economy and Cognitive Alignment Science. The Cognitive Economy reframes value creation as the outcome of decisions made across systems, organizations, and markets. Cognitive Alignment Science defines what a good decision is by formalizing objectives, constraints, and trade-offs. DECIRA operationalizes both by engineering decision architectures and measuring their quality through DQI, ensuring that intelligence translates into aligned, measurable outcomes.