Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents
The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance gap. Existing approaches, runtime guardrails, training-time alignment, and post-hoc auditing treat governance as an external constraint rather than an internalized behavioral principle, leaving agents vulnerable to unsafe and irreversible actions. We address this gap by drawing on how humans self-govern naturally: before acting, humans engage deliberat
Record details
Published: 28 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Healthcare · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents
arXiv · 21 April 2026
Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents
arXiv · 28 May 2026
When Aggregate Alignment Misleads: Auditing Policy Repair Without Per-State Expert Actions
arXiv · 3 July 2026
Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance
arXiv cs.CY · 14 August 2026
End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians
arXiv · 30 April 2026
Structural Enforcement of Goal Integrity in AI Agents via Separation-of-Powers Architecture
arXiv · 26 April 2026
How to cite this record
ethics.ai (28 April 2026), “Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents,” evidence record 5254, https://ethics.ai/record/5254 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.