explainable ai

Toward a General Theory of Technology: Technogenesis, Technological Membership, Dynamic Taxonomy, and Recursive Meta-Technology

Technology is studied through artifacts, techniques, infrastructures, knowledge systems, institutions, organizational arrangements, and sociotechnical systems, yet these traditions do not converge on a single operational architecture for determining when materially heterogeneous constructs belong to the technological d...

Structured PREreview of "Epidemiology and Antimicrobial Susceptibility Patterns of Staphylococcus aureus Isolates from Clinical Specimens at Meru Teaching and Referral Hospital, Kenya"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111619. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat inappropriate...

SYNERGISING FINITE ELEMENT METHODS WITH AI-DRIVEN PREDICTIVE RISK MODELS IN MANUFACTURING: A SYSTEMATIC REVIEW

The evidence demonstrates that the benefits of hybridisation do not lie in replacing simulation with AI, but rather in ensuring predictions are more relevant and reliable using physics-based knowledge, and in minimising the computation time required and making decisions rapidly using AI.

Structured PREreview of "Epidemiology and Antimicrobial Susceptibility Patterns of Staphylococcus aureus Isolates from Clinical Specimens at Meru Teaching and Referral Hospital, Kenya"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111619. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat inappropriate...

Diagnostic accuracy of deep learning applied to liver MRI for hepatocellular carcinoma detection: a systematic review and HSROC meta-analysis of patient-level evidence

DL applied to liver MRI yielded promising model-derived patient-level summaries, but four retrospective, geographically concentrated cohorts do not establish a transportable accuracy benchmark, radiologist augmentation, or clinical benefit.

An intelligent cybersecurity framework for banking systems: integrating neural networks, large language models, and federated learning for anti-money laundering and fraud detection

The fraud of money laundering costs the global financial system USD 800 billion to USD 2 trillion annually, while digital banking contributes to the increasing number and complexity of money laundering transactions. If there are adversarial forces that are constantly adapting their approach to avoid complying with a co...

Evaluation of an Artificial Intelligence–Driven Language Model for Age-Specific Patient Education in Pediatric Orthopaedics

GenAI LLMs can generate age-specific explanations for common surgical procedures, treatments, and diagnostic markers in pediatric orthopaedics using an artificial intelligence language model based on the child's age.

Beyond Models: Building Trusted AI in the Age of Autonomous Agents

This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities. This explores the rise of agentic AI and its transformative impact on modern cybersecurity. As AI systems evolve from assistive tools into autonomous a...

Reframing epidemic early warning: toward AI-native decision intelligence for public health governance

This work proposes reframing early warning as the perceptual foundation of AI-native decision intelligence for public health governance, and introduces ACCESS—integrating situational sensing, cognitive reasoning, scenario simulation, collective coordination, explainable accountability, and adaptive evolution.

Artificial intelligence in higher education assessment as an ecosystem of pedagogy governance and legitimacy

Artificial intelligence (AI) is rapidly reshaping higher education assessment through applications such as automated feedback, adaptive testing, learning analytics, automated scoring, and generative support. Yet scholarship on AI-enabled assessment remains fragmented across technical, pedagogical, ethical, governance,...

Understanding the Root Cause of Transient Failures in NAND-Type 3D Flash Memory

NAND-type 3D Flash memory—built on vertically stacked memory cells to achieve higher storage density and enhanced performance—has become a foundational technology in modern data-storage systems and AI workloads. However, continued scaling to further increase density and improve device characteristics introduces subst...

Leveraging multi-dataset stacking ensemble for early screening autism spectrum disorder in adults with explainable AI