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Building Technology to Drive AI Governance

By PulseAugur Editorial · [8 sources] ·

Researchers are developing new frameworks and tools to address the growing challenges in AI governance. One approach, the Agent Viability Framework, proposes an Informational Viability Principle for adaptive runtime governance of autonomous agents, focusing on estimating unobserved risk. Another paper introduces UGAF-ITS, a harmonization framework and validation tool designed to consolidate diverse AI governance standards like the EU AI Act and NIST AI Risk Management Framework for intelligent transportation systems. Additionally, the Human-AI Governance (HAIG) framework shifts focus from AI as an object of governance to the relational dynamics between human and AI actors, emphasizing trust and utility. AI

IMPACT New governance frameworks and tools aim to improve AI safety and compliance, particularly for autonomous agents and complex systems like intelligent transportation.

RANK_REASON Multiple academic papers proposing new frameworks and tools for AI governance.

Read on Bounded Regret (Jacob Steinhardt) →

AI-generated summary · Google Gemini · from 8 sources. How we write summaries →

Building Technology to Drive AI Governance

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Multiple academic papers proposing new frameworks and tools for AI governance.
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paper, policy, safety
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COVERAGE [8]

  1. arXiv cs.AI TIER_1 English(EN) · Atmaram Yarlagadda ·

    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 constrain…

  2. arXiv cs.AI TIER_1 English(EN) · German Marin, Jatin Chaudhary ·

    Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents

    arXiv:2604.24686v1 Announce Type: new Abstract: Autonomous AI agents can remain fully authorized and still become unsafe as behavior drifts, adversaries adapt, and decision patterns shift without any code change. We propose the \textbf{Informational Viability Principle}: governin…

  3. arXiv cs.AI TIER_1 English(EN) · Talal Ashraf Butt, Muhammad Iqbal, Razi Iqbal ·

    UGAF-ITS: A Standards Harmonization Framework and Validation Tool for Multi-Framework AI Governance in Distributed Intelligent Transportation Systems

    arXiv:2604.22789v1 Announce Type: cross Abstract: Organizations deploying AI-enabled Intelligent Transportation Systems face fragmented governance: ISO/IEC 42001 demands a certifiable management system, the EU AI Act imposes binding high-risk obligations from August 2026, and the…

  4. arXiv cs.AI TIER_1 English(EN) · Zeynep Engin ·

    Human-AI Governance (HAIG): A Trust-Utility Approach

    arXiv:2505.01651v4 Announce Type: replace Abstract: This paper introduces the Human-AI Governance (HAIG) framework, contributing to the AI Governance (AIG) field by foregrounding the relational dynamics between human and AI actors rather than treating AI systems as objects of gov…

  5. arXiv cs.AI TIER_1 English(EN) · Jatin Chaudhary ·

    Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents

    Autonomous AI agents can remain fully authorized and still become unsafe as behavior drifts, adversaries adapt, and decision patterns shift without any code change. We propose the \textbf{Informational Viability Principle}: governing an agent reduces to estimating a bound on unob…

  6. arXiv cs.AI TIER_1 English(EN) · Shaoshan Liu ·

    The Biggest Risk of Embodied AI is Governance Lag

    arXiv:2604.21938v1 Announce Type: cross Abstract: Embodied AI is widely discussed as a job-displacement problem. The deeper risk, however, is governance lag: the inability of public institutions to keep pace with how fast the technology spreads through the physical economy. As re…

  7. Bounded Regret (Jacob Steinhardt) TIER_1 English(EN) · Jacob Steinhardt ·

    Building Technology to Drive AI Governance

    <p>Technically skilled people who care about AI going well often ask me: how should I spend my time if I think AI governance is important? By governance, I mean the constraints, incentives, and oversight that govern how AI is developed.</p> <p>One option is to focus on technical …

  8. CSET (Georgetown — Center for Security & Emerging Tech) TIER_1 English(EN) · Jason Ly ·

    Mapping the AI Governance Landscape: April 2026 Update

    <p>🔔 The number of AI-related governance documents continues to grow rapidly, but what risks, mitigations, and other concepts do these documents actually cover?</p> <p>MIT AI Risk Initiative researchers expanded their pipeline with CSET to map over 1,000 AI governance documents f…

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