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Kwan-Hong Tan

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#artificial intelligence Review Open access Aug 2026

The Coordination Compression Trap: A Dynamic Model of AI-Enabled Productivity, Verification Debt, and Organisational Resilience in Global Knowledge Firms

Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss. Study Design:...

Kwan-Hong Tan · 2 citations
#generative ai Review Open access Sep 2026

The Verification Bottleneck in AI-Accelerated Knowledge Work: Queueing Epistemics, Verification Capacity and Adaptive Human Oversight

The verification bottleneck is developed as a distinct socio-technical mechanism and queueing epistemics is introduced, a framework for analysing knowledge reliability when verification-demanding outputs arrive faster than bounded review capacity can process them, to establish a general design principle: AI productivit...

Kwan-Hong Tan · 0 citations
Open access Jul 2026

Runtime assurance for enterprise agentic AI systems: A policy-gated control model with quantitative autonomy-risk scoring

A runtime assurance architecture (RAA) for enterprise agentic AI is developed and a quantitative Autonomy-Risk Exposure (ARE) score for deciding when an agent may execute, must be sandboxed, requires human approval or must be blocked is formalized.

Kwan-Hong Tan · 2 citations
Jul 2026

The Cognitive Sovereignty Threshold: An Interdisciplinary Humanities and Sciences Framework for Human Agency in Generative AI-Assisted Knowledge Work

The Cognitive Sovereignty Threshold (CST) is developed, an interdisciplinary humanities and sciences framework for distinguishing sovereign augmentation from cognitively fragile efficiency, and introduces the principle of germane cognitive friction: human-AI systems should deliberately preserve the effort required for...

Kwan-Hong Tan · 1 citation
Open access 2026

Calibrated Trust in Agentic AI Work Systems: A Social Trust Calibration Framework for Responsible Human-AI Adoption

The paper concludes that responsible AI adoption should be treated as a social trust calibration problem rather than a simple technology acceptance problem, and offers practical guidance for leaders, educators and policymakers seeking to scale AI while preserving human judgement, legitimacy and social confidence.

Kwan-Hong Tan · 0 citations
Open access Aug 2026

Can Artificial Intelligence Make Us Happier? Dynamic Capability-Dependency Theory and a Two-Horizon Framework for AI-Mediated Well-Being

DCDT develops Dynamic Capability-Dependency Theory (DCDT), an integrative framework that treats AI-mediated happiness as a two-horizon process and introduces the Temporal Well-Being Reversal condition, in which initially positive AI effects become negative after capability erosion, relational substitution or dependency...

Kwan-Hong Tan · 0 citations
Review Open access Jul 2026

Reversibility-Aware Staged Delegation for Enterprise Agentic AI: A Real-Options and Resilience Framework for Irreversible Actions

Reversibility-Aware Staged Delegation (RASD), a multidisciplinary decision framework integrating AI governance, resilience engineering, transaction processing, real-options reasoning, and human-centered automation, is developed and the findings support a shift from binary autonomy decisions toward recoverability-preser...

Kwan-Hong Tan · 0 citations
Open access Jul 2026

The AI productivity-governance frontier: A theoretical model for enterprise value creation under agentic automation

An original theoretical model is developed to explain why the same agentic AI capability can generate measurable value in one organization but produce negligible or negative returns in another, and that sustainable AI value does not increase monotonically with either automation intensity or governance intensity.

K. Tan · 1 citation
Open access Jul 2026

Beyond Human Oversight: Cognitive Sovereignty in Global Governance Frameworks for Agentic Artificial Intelligence

This qualitative study conducts a comparative document analysis of ten influential governance instruments issued by UNESCO, the OECD, the European Union, the Council of Europe, the United States National Institute of Standards and Technology, the United Kingdom, the Group of Seven, and Singapore.

Kwan-Hong Tan · 0 citations
#artificial intelligence Open access Jul 2026

Human Agency under Algorithmic Governance: A Humanities Framework for Law, Management and Public Life

The paper argues that algorithmic governance should not be assessed only by whether systems are accurate, explainable or compliant, but also by whether affected persons retain interpretive agency, contestatory power, relational recognition and meaningful participation in institutional life.

K. Tan · 1 citation

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