artificial intelligence

Decision Assurance by Design A Capability Framework for Trustworthy AI Governance in the Enterprise

Artificial intelligence increasingly informs consequential enterprise decisions, yet prevailing governance approaches tend to assess ethical principles, model properties, regulatory conformity or audit activities in isolation. This conceptual paper argues that trustworthy AI governance should focus on the organizationa...

Navigating Life After Dementia Diagnosis: Questions, Challenges, and Support Needs Among Dementia Dyads

Background: Older adults living with mild cognitive impairment (MCI) or Alzheimer's disease and related dementias (AD/ADRD) and their care partners face substantial daily challenges that evolve with disease progression and extend far beyond the clinical setting, including symptom management, care coordination, healthca...

Achievement goal theory in AI-supported learning: Psychological pathways and configurations leading to student engagement

Artificial intelligence (AI) is increasingly integrated into higher education, yet little is known about how students’ achievement goal orientations are associated with their engagement in AI-supported learning. Grounded in Achievement Goal Theory, this study examined the relationships among mastery-approach, mastery-a...

Technological neuropsychology: Assessing cognition in a digital world

Clinical neuropsychology was forged in a pre-digital era, and many of its core instruments still bear that imprint. Patients are still commonly assessed with paper-and-pencil tests in quiet rooms, under conditions that only weakly approximate the technology-saturated environments in which cognition is now expressed. Ov...

Humans and Robots in Agriculture

Research in agricultural robotics has garnered increasing attention over the past decade. Simultaneously, Human-Robot Interaction (HRI) has emerged as a possible solution to increase automation and reduce the lack of human labor in the field. This chapter presents a study of research trends in HRI focusing on Artificia...

Safeguarded online self-training for continual tunnel-face blast-hole detection

Continual full-image blast-hole detection is required as tunnel-face imagery accumulates under weak or unreliable hole-position priors, while hidden batch annotations prevent direct supervision during online updating. This study presents safeguarded online self-training, an artificial intelligence method that provides...

Co-Designing Community-Centered AI Education for Adults: A Midwestern Case Study

Artificial Intelligence (AI) education is increasingly important, yet adults outside higher education receive less attention. We report a case study of an AI education session with 54 adults (48 in-person and 6 virtual) in a predominantly African American community on the east side of a major Midwestern city. We ask: "...

General-purpose LLMs as constrained crystal composition generators

Abstract The targeted discovery of inorganic materials remains challenging due to the vastness of compositional design spaces and the high cost of exhaustive screening. Task-specific generative artificial intelligence represents a particularly efficient alternative to screening, yet demands tedious collection of traini...

The invisible risks of AI-generated health information

The District of Columbia Circuit Finds Article III Standing Based on the Risk of Future Identity Theft in In re U.S. Office of Personnel Management Data Security Breach Litigation

This Note examines the D.C. Circuit’s decision in In re U.S. Office of Personnel Management Data Security Breach Litigation and argues that an increased risk of future identity theft constitutes a sufficiently concrete injury for Article III standing in data breach cases. Analyzing Supreme Court standing doctrine, incl...

Theory of Everything Research Programme: Block IV Adaptive Agency and Structural Generalisation Confirmatory Experiment Software and Reproducibility Package.

This software release provides the executable and reproducibility infrastructure for the preregistered confirmatory study in Experimental Block IV of the Theory of Everything Research Programme. The package implements the frozen protocol associated with OSF preregistration DOI 10.17605/OSF.IO/REHW5. It contains seven f...

Interpreting Machine Learning Predictions with SHAP and LIME for Transparent Decision Making

Machine learning models increasingly influence critical decisions across diverse domains, yet their complex architectures often operate as black boxes, obscuring the rationale behind predictions and limiting stakeholder trust. This research demonstrates a comprehensive, reproducible workflow for applying explainable ar...