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explainable ai

2,182 papers

#artificial intelligence Open access Sep 2026

The Post-Economic Human: Artificial Intelligence, Ontological Displacement, and the Ideological Foundations of Future Conflict

Artificial intelligence is usually analysed as a productivity technology, a labour-market shock, or a governance problem. This article argues that its deeper political significance may arise from a fourth channel: ontological displacement. Ontological displacement occurs when a technology weakens the socially recognise...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Sep 2026

Hermeneutic Sovereignty under Generative AI: A Humanities Framework for Protecting Human Meaning-Making from Interpretive Foreclosure

Generative artificial intelligence increasingly mediates not only what institutions decide, but how institutions interpret people. Large language models draft case summaries, student feedback, performance reviews, clinical notes, policy briefs, creative text and administrative explanations. Existing AI governance frame...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

The Synthetic Consensus Trap: Correlated AI Errors, Verification Overload, and the Mathematics of Institutional Epistemic Cascades

Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

The Synthetic Consensus Trap: Correlated AI Errors, Verification Overload, and the Mathematics of Institutional Epistemic Cascades

Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Aug 2026

Are We Living in an Algorithmically Determined World?

This paper critically examines the pervasive yet often unsubstantiated notion that we are living in an algorithmically determined world. While popular discourse and some academic literature suggest a monolithic takeover by algorithmic systems, this research argues for a more nuanced and empirically grounded understandi...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Aug 2026

Are We Living in an Algorithmically Determined World?

This paper critically examines the pervasive yet often unsubstantiated notion that we are living in an algorithmically determined world. While popular discourse and some academic literature suggest a monolithic takeover by algorithmic systems, this research argues for a more nuanced and empirically grounded understandi...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Is the Algorithm an Epistemic Agent? A Critical Analysis of Computational Epistemology and the Emergence of Algorithmic Agency

The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Is the Algorithm an Epistemic Agent? A Critical Analysis of Computational Epistemology and the Emergence of Algorithmic Agency

The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Does ChatGPT Undermine Human Epistemic Authority? A Multi-Dimensional Analysis of Artificial Intelligence's Challenge to Knowledge Systems

The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Does ChatGPT Undermine Human Epistemic Authority? A Multi-Dimensional Analysis of Artificial Intelligence's Challenge to Knowledge Systems

The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...

Kwan Hong TAN · 0 citations

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Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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