Precautionary Governance of Autonomous AI: Legal Personhood as Functional Instrument
Karsten Brensing

TL;DR
This paper proposes a legal governance framework for autonomous AI using limited legal personhood within a two-tier corporate structure, aiming to improve responsibility attribution and accountability.
Contribution
It introduces a novel organizational law-based approach for AI governance, employing purpose-bound companies to manage responsibility gaps without requiring AI consciousness.
Findings
Framework enables transparency and accountability in AI systems.
Pilot implementation with EU companies is under development.
Supports future-oriented AI governance beyond control and alignment.
Abstract
Autonomous AI systems generate responsibility gaps: consequential actions that cannot be satisfactorily attributed to developers, operators, or users under existing legal frameworks. The prevailing subject-object dichotomy fails to accommodate entities that exhibit autonomous, goal-directed behavior without recognized consciousness. Given irreducible epistemic uncertainty regarding artificial consciousness and the prospect of high-impact harms, the precautionary principle supports institutional design rather than regulatory inaction. This article advances limited legal personhood as a functional governance instrument for advanced AI systems. Drawing on organizational law, it proposes a two-tier corporate architecture in which AI systems operate through purpose-bound operating companies embedded within human-controlled holding structures, enabling transparency, accountability, and…
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