Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy
2026-05-21T07:23:55Z•cd7a221b683372c4fa6cb25f8260ee963fd825b8ac5b13d40cace969c33d6070
agentic-aiai-governanceai-safetyaugmented-analyticsbenchmarkingccpacyberbiosecuritydata-brokersgovernance-by-designknowledge-gapllm-behaviorloss-of-controlmedical-devicesmobility-datasetmodel-collapsenational-securityobedience-experimentprivacy-complianceprogrammable-governancesynthetic-datatrust
What happened
Collection of May 21, 2026 arXiv papers addressing governance, safety, privacy, and empirical behavior of AI and socio-technical systems. Key contributions include: a “governance by design” account with seven lessons from an enterprise rollout of agentic AI; a formal Programmable Participatory Governance framework for transparent, verifiable civic coordination; a field experiment on online search showing persistent knowledge gaps by education; a practical method to backchain Loss-of-Control (LoC) mitigations from mission-specific national-security benchmarks; an empirical audit finding only ~9
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- cd7a221b683372c4fa6cb25f8260ee963fd825b8ac5b13d40cace969c33d6070
- Enrichment time
- 2026-05-21T07:23:55Z
- AI-assisted enrichment
- Yes
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