What question did this study set out to answer?

This research aims to develop a rigorous framework for hybrid Human+AI organizational systems using control theory concepts.

April 30, 2026Open Access

A Hybrid Human+AI (HumAi) Organizational Design: Starship Governance

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Establishes a framework for HumAi organizational design, ensuring robust governance and observability in these systems.

This research aims to develop a rigorous framework for hybrid Human+AI organizational systems using control theory concepts.
Utilized constrained nonlinear control systems to model hybrid Human+AI systems.
Applied a Marchaud differential inclusion alongside a regularized KL-based governance operator.
Ensured forward invariance and robustness using Nagumo-type conditions and ISS Lyapunov functions.
Demonstrated a closed-loop policy ensuring unique trajectories in the system.
Established local nonlinear observability for effective state reconstruction from outputs.
Preserved control distribution rank within the governance framework, ensuring governed reachability.

Usman Zafar (2026) studied this question.

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