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Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behavi

BACKGROUND
1 SIGNALFIRST DETECTED 27 March 2026
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27 Mar
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Other feeds and industry voices
16 Jun
Trust Between AI Agents: Measuring Formation, Breakage, and Recovery, with Implications for Governing Multi-Agent Systems

arXiv:2606.14923v1 Announce Type: new Abstract: As language-model agents increasingly work in teams, each agent must decide how much to trust its teammates. Yet we lack a standard

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies

arXiv:2604.22227v1 Announce Type: cross Abstract: Classical robot ethics is often framed around obedience, most famously through Asimov's laws. This framing is too narrow for

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25 Mar
Beyond Preset Identities: How Agents Form Stances and Boundaries in Generative Societies

arXiv:2603.23406v1 Announce Type: new Abstract: While large language models simulate social behaviors, their capacity for stable stance formation and identity negotiation during

REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Jul
Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI

arXiv:2607.15992v1 Announce Type: new Abstract: Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI

REPORT · WHAT · ArXiv CS.AIOPEN STORY
18 May
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems

arXiv:2605.16198v1 Announce Type: new Abstract: We examine one particular dimension of AI governance: how to monitor and audit AI-enabled products and services throughout the AI

REPORT · HOW · ArXiv CS.AIOPEN STORY
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