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
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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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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· Zenodo (CERN European Organi...· 0 citations
This white paper presents a comprehensive functional and technical framework for applying artificial intelligence to purchase order generation and lifecycle management. It explains how AI, natural language processing, retrieval-augmented generation, business rules, enterprise data, and ERP integrations can transform ap...
Pawan Singh· Zenodo (CERN European Organi...· 0 citations
The paper shows how familiar decision-system properties generate emergent organizational effects when recursively coupled within operational workflows and why comparable investments can produce divergent outcomes.
Albert Adusei Brobbey· Journal of Enterprise Inform...· 0 citations
In my (2024), I argued that there are principled reasons for thinking that AI cannot be an authority about one’s own mind. The idea is that it is only rational to treat another as an epistemic authority under certain conditions, and AI does not meet one of those conditions. Fan (2025) rejects the account of epistemic...
Casey Doyle· Erkenntnis: An International...· 0 citations
PREVENTING WAR/BURNOUT: THE IRONIC PERSPECTIVES OF TRUTH, REALITY, AND WORKABILITY Gerhard Ris, author, is a pensioner, former DA magistrate, and lawyer · Preface This article has a one-page introduction as an excerpt on the topic: Preventing war/burnout: the ironic perspectives of truth, reality, and workability. It p...
Gerhard Ris· Zenodo (CERN European Organi...· 0 citations
Why is time one-dimensional? The answer offered here is that no law decrees it; the requirement that one be able to predict allows nothing else. The equations of a universe with two times can be written, and their solutions exist. What breaks is prediction. No new mathematical theorem and no new law is claimed. Scope o...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Current Explainable AI (XAI) methods frequently deliver post-hoc explanations that lack a fundamental understanding of the causal relationships underpinning AI decision-making. This paper proposes a novel approach to XAI that integrates causal inference and counterfactual analysis, aiming to generate more insightful an...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Machine-learning credit underwriting in the United States operates under three families of obligation that are not reducible to one another: a statutory prohibition on discrimination, a statutory duty to disclose the specific principal reasons for an adverse action, and prudential expectations for model risk management...
Hasibur Rahman, Sarder Abdulla Al Shiam, Md Sibbir Hossain· Journal of business and mana...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
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