Skip to content

Category

explainable ai

2,878 papers

#explainable ai Open access Aug 2026

Urban EcoScore index-based assessment of biophilic potential and habitat-structural condition of the Kolkata metropolitan area

Urban sustainability assessment is crucial due to rapid urbanisation and environmental stress, particularly in the Kolkata Metropolitan Area (KMA), where land-use changes contribute to ecological degradation. This research develops and assesses the Urban EcoScore Index (UESI) as a method for evaluating biophilic potent...

Md Saharik Joy, Priyanka Jha, Pawan Kumar Yadav et al. · 0 citations
#explainable ai Dataset Open access Aug 2026

Exact certificates for r(n) = e(n), n = 9–21: regular triangle unions

Version 6 (Augustus 2026) adds r(21) = e(21) = 231, closing the hardest rung to date after a five-day resistance documented in CHANGELOG_v6.md; the pattern now holds for thirteen consecutive values. -- Version 5 (August 2026) adds r(19) = 207 and r(20) = 220, extending r(n) = e(n) = U(n) to twelve consecutive values; t...

Reynout Vos · 0 citations
#explainable ai Open access Aug 2026

A Multi-Layer Behavioral and Explainable Framework for Robust Detection of Backdoor Attacks in Deep Neural Networks

Backdoor attacks pose a critical threat to Deep Neural Networks (DNNs) by embedding hidden behaviors that are activated only under specific trigger conditions, compromising the reliability of Artificial Intelligence (AI) systems. Existing detection approaches often rely on single-method assumptions, limited data access...

Ahmed Aljughaiman, Abdulmohsen Saud Albesher, Abdullah Albuali et al. · 0 citations
#diffusion models Open access Aug 2026

Multidimensional trust perceptions of AI medical conversational agents: framework development and scale validation

Artificial intelligence is rapidly becoming embedded in everyday life through an expanding range of applications, services, and products. As its potential to improve diagnosis, personalize treatment, and enhance operational efficiency becomes increasingly evident, healthcare is undergoing profound transformation. Howev...

Hemin Du, Wumin Ouyang, Y X Han et al. · 0 citations
#graph neural networks Open access Aug 2026

Explainable AI for Graph Neural Networks via Symbolic Representation Learning

Graph Neural Networks (GNNs) have demonstrated remarkable success in various domains, including social network analysis, drug discovery, and recommendation systems. However, their inherent complexity often leads to a "black box" problem, where it is difficult to understand the reasoning behind their predictions. This p...

Jincheng Zhang · 0 citations
#graph neural networks Open access Aug 2026

Explainable AI for Graph Neural Networks via Symbolic Representation Learning

Graph Neural Networks (GNNs) have demonstrated remarkable success in various domains, including social network analysis, drug discovery, and recommendation systems. However, their inherent complexity often leads to a "black box" problem, where it is difficult to understand the reasoning behind their predictions. This p...

Jincheng Zhang · 0 citations
#reinforcement learning 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
#reinforcement learning Open access Aug 2026

Autonomous Enterprise Platforms: A Framework for AI-Guided Decision Loops, Predictive Intelligence, and Continuous Organizational Adaptation

Enterprise platforms are evolving from systems that primarily record and analyze business operations into intelligent environments capable of predicting outcomes, recommending interventions, executing decisions, and learning from their consequences. This article proposes a conceptual Autonomous Enterprise Platform (AEP...

Shekar Vollem · 0 citations
#reinforcement learning Open access Aug 2026

Neuro-Symbolic Logic Programming with Reinforcement Learning

This paper proposes a novel approach to artificial intelligence—Neuro-Symbolic Logic Programming with Reinforcement Learning—designed to address the limitations of current AI techniques. The core idea is to integrate the pattern recognition capabilities of neural networks with the reasoning and explainability offered b...

Jincheng Zhang · 0 citations
#generative ai Review Open access Aug 2026

Examining Student Dependence on Generative AI tools in Programming Education

Programming students are no longer only learning to write code; they are also learning in environments where AI tools can explain, debug, and generate code alongside them. This shift creates a tension for programming education: the same tools that can make learning more accessible may also encourage dependence when stu...

Kazeem Babatunde Abioye · 0 citations
#generative ai Open access Aug 2026

Structured PREreview of "Enhancing Transparency and Fairness in Chinese Student Design Competitions: A Five-Dimensional Evaluation Framework for Sustainable Design Education"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22161441. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat appropriate A...

Yuchen Song · 0 citations
#generative ai Open access Aug 2026

Structured PREreview of "Enhancing Transparency and Fairness in Chinese Student Design Competitions: A Five-Dimensional Evaluation Framework for Sustainable Design Education"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22161441. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat appropriate A...

Yuchen Song · 0 citations

From tech blogs

See all →
Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

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…

Microsoft Research Blog Nov 3, 2026

Learn the rules: The hacker mindset

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.

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.