explainable ai

Enter Banking With Billy: World's First Equation‑Native Intelligence and Autonomous Cognitive Evolution Explained

Enter Banking With Billy: Equation‑Native Intelligence and Autonomous Cognitive Evolution Part One — Mathematical Foundations and System InstantiationBilly Odell Tucker‑Robinson Banking With Billy Qauntum Ai Research and Development ( Independent Researcher ) Abstract Modern artificial intelligence systems are hardware...

Enter Banking With Billy: World's First Equation‑Native Intelligence and Autonomous Cognitive Evolution Explained

Enter Banking With Billy: Equation‑Native Intelligence and Autonomous Cognitive Evolution Part One — Mathematical Foundations and System InstantiationBilly Odell Tucker‑Robinson Banking With Billy Qauntum Ai Research and Development ( Independent Researcher ) Abstract Modern artificial intelligence systems are hardware...

Privacy-preserving Technologies for Artificial Intelligence

Privacy remains a significant barrier to unlocking the full potential of AI in sensitive domains such as healthcare. In this chapter, we survey methods for preserving privacy while enabling useful data analysis. We review anonymization approaches, including k-anonymity, differential privacy, and federated learning, and...

Available but not executable: transparency-audit and containerized re-execution artifacts for code-available dysphagia and swallowing AI

Reproducibility artifacts for the meta-research study "Available but not runnable out of the box: an audit of execution prerequisites and label reporting in shared code for dysphagia and swallowing artificial intelligence." The protocol keeps the working title it was written under. We audited whether published swallowi...

PAPC: Platform Mediation for Privacy-Propagation Externalities in AI-Mediated Workflows

This work presents PAPC, a platform-mediated mechanism that intercepts information-moving events before they update shared state or external channels and positions event-level mediation as a platform-governance primitive for agent-mediated online work.

A Qualitative Model for Reasoning about Path and Support

This paper introduces a hybrid qualitative model designed for Camelot Jr, a block-puzzle game that requires constructing multi-level bridges to connect two avatars stationed on separate towers, and integrates a mathematical center-of-mass stability logic to guide the qualitative solver.

Reproducibility is not construct validity: LLM measurement of institutionally situated communication

High annotation reproducibility does not necessarily imply that an LLM-inferred measure captures the construct it is intended to measure. We test this distinction using a dataset from the European Commission's AI Act consultation, linking structured survey responses to free-text consultation submissions from the same s...

Toward Socially Accountable Data Science Education: Proposing a Conceptual Framework for Integrating Explainable AI (XAI) and Accountability Principles

As artificial intelligence systems increasingly serve as a gateway for access to information, economic opportunity, and civic life, higher education programs training AI developers must evolve to prepare practitioners who are not only technically proficient in building AI solutions but also socially accountable in thei...

Just Explain It to Yourself: On Integrating Self-Explanations into Explainable AI

Diagnostic accuracy of AI-assisted versus independent physician interpretation for bone fractures: a systematic review and meta-analysis

How human-machine collaboration effectively mitigates clinical experience gaps and improves radiologic diagnosis is quantified, which substantially reduces missed fractures and safely bridges the experience gap for junior clinicians, ultimately optimizing patient triage and operational efficiency.

Effects of Generative AI, Digital Leadership, and Teacher Professional Development on Multi-dimensional Student Development

Generative artificial intelligence (GAI), digital leadership, and teacher professional development affect multi-dimensional student growth in Xinzheng, China, senior high schools. Although the level of digital infrastructure investment is high, a large number of inland schools suffer an input-output paradox, in which t...

Morphology-Aware Lightweight Deep Learning for Explainable Rice Variety Classification

This research shows a lightweight convolutional neural network (CNN) framework for automatic rice variety classification. The proposed model is multi-branch modules of Inception style, res connection, channel – spatial attention mechanism to improve feature extraction without increasing the architecture compact and eff...