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explainable ai

2,489 papers

#explainable ai Open access Aug 2026

Can AI Replace Humans? — How Human Knowledge Continues to Grow in the Era of Large Language Models

Recommendation algorithms determine what people see, and may also influence the perspectives through which people understand the world. As Large Language Models (LLMs) enter the domains of knowledge acquisition and information comprehension, this influence may extend further into human understanding, judgment, and mode...

ling liu · 0 citations
#explainable ai Open access Aug 2026

One Sea Holds Three Lengths, Spanning a Factor of 4.39x10^4 ── All Contain the Coriolis Parameter, and Nothing Else in Them Overlaps ── The Bathtub Vortex Has Rossby Number 3232, and Seeing Rotation There Needs Flow Below 0.031 mm/s ── [Paper 291]

A rotating ocean has several characteristic lengths. Each is called “the length set by Coriolis.”This paper asks whether they are the same thing──the answer is that they are different things. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new...

Yuuki Yamagishi · 0 citations
#explainable ai Open access Aug 2026

What Saturates Is Not the Earthquake but the Scale ── Measured by m_b, the 2011 Tohoku Earthquake's Energy Is Estimated at One 5623rd ── A Scale Saturates When the Source Duration Exceeds the Period It Observes ── [Paper 282]

“Magnitude” is not one thing. There are four──M_L, m_b, M_S, M_w──and all but M_w hit a ceiling for great earthquakes. This paper asks whether what hits the ceiling is the earthquake or the scale──the answer is the scale. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new ma...

Yuuki Yamagishi · 0 citations
#explainable ai Open access Aug 2026

One Sea Holds Three Lengths, Spanning a Factor of 4.39x10^4 ── All Contain the Coriolis Parameter, and Nothing Else in Them Overlaps ── The Bathtub Vortex Has Rossby Number 3232, and Seeing Rotation There Needs Flow Below 0.031 mm/s ── [Paper 291]

A rotating ocean has several characteristic lengths. Each is called “the length set by Coriolis.”This paper asks whether they are the same thing──the answer is that they are different things. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new...

Yuuki Yamagishi · 0 citations
#explainable ai Open access Aug 2026

"Conserved" Has Two Distinct Roots, and Noether Explains Only One ── Shorten the Pendulum and the Energy Rises by 2.000000 While E/omega Does Not Move ── What Separates Them Is Not Symmetry but Slowness ── [Paper 310]

This corpus has cited Noether’s theorem in 27 papers. This paper asks whether every conserved quantity comes from a symmetry──the answer is no. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──adiabatic invariants, action var...

Yuuki Yamagishi · 0 citations
#artificial intelligence Open access Aug 2026

Impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Chennai

Abstract Artificial Intelligence (AI) has significantly transformed recruitment and employee selection by improving the efficiency, accuracy and transparency of hiring processes in IT organizations. This study examines the impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Ch...

G. Raja Priya, L. Veronica Christy · 0 citations
#artificial intelligence Open access Aug 2026

Impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Chennai

Abstract Artificial Intelligence (AI) has significantly transformed recruitment and employee selection by improving the efficiency, accuracy and transparency of hiring processes in IT organizations. This study examines the impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Ch...

G. Raja Priya, L. Veronica Christy · 0 citations
#computer vision Preprint Aug 2026

Trustworthy RAG: An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Generative AI Systems

An Evaluation Agent, middleware that combines Natural Language Inference factual verification, a five-signal poison detector with relevance-weighted aggregation, and a Trust Index is proposed, which reliably blocks instruction injection of unsafe advice while contradiction and subtle semantic weakening remain hard.

Balkrishna Giri, M. Hasan, Jussi Rasku et al. · 0 citations
#explainable ai Open access Aug 2026

The Awakener: A Unified Materialist Theory of Consciousness as a Dynamic Process

What is consciousness? Despite millennia of inquiry, humanity still lacks a consensus definition. This paper proposes a unified, strictly materialist theory: consciousness is not an entity but a process-specifically, the dynamic process that occurs when a specific structure, formed within complex, chaotic circuits, for...

Yijun Mo · 0 citations
#explainable ai Open access Aug 2026

Explainable AI for Reinforcement Learning via Causal Reasoning

Reinforcement learning (RL) has achieved remarkable success in various domains, but its "black box" nature poses a significant challenge for real-world deployment. Understanding the rationale behind an RL agent's decisions is crucial for trust, debugging, and improving performance. This paper proposes a novel approach...

Jincheng Zhang · 0 citations
#explainable ai Open access Aug 2026

Neuro-Symbolic Reasoning with Attentive Graph Neural Networks and Rule Extraction

This paper presents a novel approach to neuro-symbolic reasoning by integrating attentive graph neural networks (GNNs) with rule extraction techniques. The core idea is to leverage the pattern recognition capabilities of GNNs for initial data processing while simultaneously extracting symbolic rules that encapsulate do...

Jincheng Zhang · 0 citations
#explainable ai Open access Aug 2026

Neuro-Symbolic Reasoning with Attentive Graph Neural Networks and Rule Extraction

This paper presents a novel approach to neuro-symbolic reasoning by integrating attentive graph neural networks (GNNs) with rule extraction techniques. The core idea is to leverage the pattern recognition capabilities of GNNs for initial data processing while simultaneously extracting symbolic rules that encapsulate do...

Jincheng Zhang · 0 citations

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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