explainable ai

METHODS AND MODELS FOR OPTIMIZING FINANCIAL AND ADMINISTRATIVE PROCESSES THROUGH ARTIFICIAL INTELLIGENCE

The rapid development of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), predictive analytics, and intelligent automation is transforming the organization of financial and administrative processes. Financial administration traditionally depends on large volumes of structured and...

A proof of a conjecture of R. Ford: semi-meanders with two mountain ranges and Euler's totient function

We prove a conjecture of R. Ford stated in 2017 in the OEIS entry A000010 (Euler's totient function): for n > 1, the number of semi-meander solutions for n whose top arches contain exactly 2 mountain ranges and exactly 2 arches of length 1 equals phi(n). In Ford's setting, the points 1, ..., 2n lie on a line, the botto...

Phonon–Photon–Spin Transduction: A First-Principles Pedagogical Derivation from Lattice Vibrations to Conditional Spin Response

This pedagogical technical note derives a connected model from a one-dimensional monoatomic lattice through acoustic phonons, strain, photoelastic refractive-index modulation, Stokes and anti-Stokes optical sidebands, and a conditional spin-population response. It explains why a realistic optical-to-spin step requires...

Causal-Reasoning World Models: Toward AI’s Subjectivity through Backward Generation

Machine learning and Voronoi-based decision boundaries for Bacterial vaginosis to determine population- specific microbial interactions.

In this study we utilize machine learning techniques to create predictive models and determine key bacterial interactions for the diagnosis of Bacterial vaginosis. Bacterial vaginosis (BV) is a common vaginal syndrome affecting reproductive-age women globally. It is associated with various adverse obstetric and gynecol...

Supplementary Table S1: Study-Level Quality Assessment, Screening Funnel, and T-SAFE Dimension Coding Data for 'Trustworthy Agentic AI: A Rapid Evidence Review of Safety, Explainability, Alignment, and Human Oversight in Autonomous AI Systems'

Potential Dangers of AI in Teaching: An Ecological Analysis of Teacher Agency

Drawing on Priestley, Biesta, and Robinson’s ecological approach to teacher agency, and on Biesta and Tedder’s account of agency as an ecological achievement, this paper defines teacher agency not as a personal trait but as something achieved through the interaction of past experience, future orientation, present judge...

The Algorithmic Well‐Being Paradox: When AI Decision Delegation Helps and Hurts Consumer Well‐Being

ABSTRACT As generative AI increasingly shapes consumer decision‐making, its implications for consumer well‐being remain unclear. Existing research largely focuses on the trade‐off between algorithmic efficiency and autonomy loss. This research advances understanding by proposing the algorithmic well‐being paradox, wher...

Explainable artificial intelligence in geospatial disaster modeling: A systematic review of methods, applications, and challenges

Recent advances in Artificial Intelligence (AI) have significantly improved geospatial disaster modeling applications, particularly in flood, landslide, wildfire, and earthquake susceptibility assessments. Machine learning (ML) and deep learning (DL) models integrated with geographic information systems (GIS) and remot...

Deep Learning for Early Disease Identification in Leaves: A Pathway to Sustainable Mango Production

Abstract: Today, the challenges in agriculture are so big and complicated that agricultural professionals can't just look at them and figure them out. This study looks at the newest deep learning and computer vision techniques for finding and sorting mango leaf diseases. Leaf diseases cut the quality and quantity of ma...

Do People Think ChatGPT Is Conscious? Evidence from a Large Polish Sample

Large language models (LLMs) like ChatGPT are increasingly treated by the public as if theypossess subjective experience, with multiple studies probing the popular opinion on the matter. Thepresent study provides the first large-scale measurement of this phenomenon in Poland. Anationally distributed online survey panel...

ARTIFICIAL INTELLIGENCE IN CLINICAL REHABILITATION: A SYSTEMATIC REVIEW OF CLINICAL APPLICATIONS, OUTCOMES AND IMPLEMENTATION CHALLENGES

Artificial intelligence (AI) is increasingly being incorporated into clinical rehabilitation through computer vision, wearable sensors, machine learning, robotics, virtual reality, mobile applications, and remote monitoring. This structured evidence review summarizes published evidence on the clinical applications, out...