explainable ai

Code_137_1836: The learning formula that connects quantum physics and the theory of relativity and structures the world.

Please read the end of the file "Physikalische Implikationen.pdf" The empirical loop is decisively closing. The fundamental constants—137 (fine-structure) and 1836 (proton-electron mass ratio)—are unequivocally observed across cosmic scales. Though long pondered, these values have often been misinterpreted, as research...

Structured Vibe Coding: The PAS/TDO Framework for Engineering AI Application Prompts

Abstract Generative AI (GenAI) applications are non-deterministic. That is the same input can produce different outputs from run to run, and increasingly it is the prompt, not a line of code, that stands between an unpredictable model, and a system people can rely on. Despite this, most AI-powered applications (i.e., a...

Tribal OS: How Social Machinery (Status, Shame, Coalition) Works, and What Breaks When It Scales

Modern humans run an inherited psychological operating system. Its deepest layer is conserved primate social architecture; call it the firmware. It sorts people into ours and theirs, then helps determine whom to copy, whom to submit to, whom to desire, and whom to tend. This machinery was calibrated in small, repeatedl...

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...

MOPG-7: A Multi-Clinic Dental Panoramic Radiograph Dataset with Expert YOLO Labels

This dataset is a publicly available, multi-clinic dental imaging database that aims at furthering studies on artificial intelligence (AI), computer vision, and computer-aided diagnosis (CAD) based on panoramic dental radiographs (orthopantomogram or OPG). This database includes 2,095 completely anonymized panoramic de...

PENGARUH PEMANFAATAN AI DAN LINGKUNGAN BELAJAR TERHADAP PRESTASI AKADEMIK

This study is motivated by the increasing use of Artificial Intelligence (AI) in learning and the critical role of the learning environment in shaping students’ academic performance. However, a gap persists between the potential of AI utilization and the quality of learning environments in achieving optimal academic ou...

Artificial Intelligence in Financial Reporting Fraud Detection: An Empirical Investigation of Auditor Trust as a Mediating Mechanism in U.S. Markets

An integrated model in which Auditor Trust in AI Systems mediates the effects of AI Predictive Capability, Explainable AI, Data Quality, and AI Governance and Internal Control Quality on Perceived Financial Reporting Fraud Detection Effectiveness shows that AI-enabled fraud detection is a socio-technical outcome that d...

Entropy and explainable AI based risk adaptive MPC for low-carbon integrated energy system scheduling

AI Addiction: Exploring the Impact of ChatGPT Reliance on SelfRegulated Learning

Although ChatGPT facilitates access to information, excessive reliance may weaken students’ ability to monitor and reflect on their learning, highlighting the need for educational policies that integrate digital literacy to promote responsible AI use while maintaining learning independence.

The Impact of Explainable AI Readiness and its Impact on the Quality of Operational Decisions — The Mediating Role of Digital Trust: A Survey Study in the General Company for Electricity Distribution in the Northern Region

The results showed a high level of interpretive AI readiness at the company under study, with a direct and positive, significant impact of readiness on the quality of operational decisions at a significance level of (P 0.05).

STeREx-Net: Diffusion-Residual Evidence Fusion for Explainable Three-Class Synthetic-Media Forensics

STeREx-Net should be viewed as a human-supervised forensic research framework with explicitly characterized robustness, localization, and generalization boundaries rather than as a universally robust detector.

Tracing the geographical origin of forest-sourced medicinal materials by hyperspectral imaging: a critical review for smart forestry

A structured narrative synthesis of the 2015–2026 literature indicates that deep learning architectures—particularly two-dimensional correlation spectroscopy (2DCOS) combined with residual networks—have been reported to achieve 98–100% classification accuracy for several forest-sourced species under controlled laborato...