explainable ai

AI Safety Measures Are Advancing: The Policy–User Gap in Autonomous AI Governance and Operational Control

As AI providers introduce new capabilities and safety controls, what must businesses and individual users change in their own operations? This conceptual paper examines the Policy–User Gap: the distance between provider-side changes and users’ practical ability to understand those changes, reassess their workflows and...

PV-PP FRAMEWORK GETTING STARTED V2.1 PRODUCTIVE VALUE–PRODUCTIVE POWER (PV-PP)

About This Book This is the shortest way into the Productive Value–Productive Power (PV-PP) runtime. It explains what the PV-PP framework is and what the runtime does, recommends building with an AI assistant, shows how to install and verify the runtime, and then builds one small application, a battery-powered sensor,...

Data Management Plan — Strategic Decision-Making and Optimization: Empowering SMEs with Data-Driven Systems for Resilience and Digital Competitiveness

Data management plan for an industrial doctorate on evaluative AI for strategic decision-making in SMEs, produced with CORA.eiNa DMP (CSUC) using the UOC doctoral-student template. It is maintained as a living document, revised when the facts change rather than filed once. The plan covers data collection from public UK...

AI Safety Measures Are Advancing: The Policy–User Gap in Autonomous AI Governance and Operational Control

As AI providers introduce new capabilities and safety controls, what must businesses and individual users change in their own operations? This conceptual paper examines the Policy–User Gap: the distance between provider-side changes and users’ practical ability to understand those changes, reassess their workflows and...

Scientific Computing Verification Stack

Documentation-only R3 addendum to Scientific Computing Verification Stack R2 (https://doi.org/10.5281/zenodo.22861401). The new PDF walks through four distinct questions in the finite R15 Maxwell sequence: measured source-problem refinement, the separately reported conforming R5 spectral comparator, failure of the hist...

Data Management Plan — Strategic Decision-Making and Optimization: Empowering SMEs with Data-Driven Systems for Resilience and Digital Competitiveness

Data management plan for an industrial doctorate on evaluative AI for strategic decision-making in SMEs, produced with CORA.eiNa DMP (CSUC) using the UOC doctoral-student template. It is maintained as a living document, revised when the facts change rather than filed once. The plan covers data collection from public UK...

AI Is the Junior Employee: Training AI Can Also Train Humans through On-the-Job Training and Operational Governance

As AI takes over tasks traditionally assigned to junior employees, how can organizations preserve opportunities for people to develop professional judgment? This conceptual paper proposes treating AI as a junior employee and designing its on-the-job training (OJT) as an opportunity for human development. AI mistakes ca...

Scientific Computing Verification Stack

Documentation-only R3 addendum to Scientific Computing Verification Stack R2 (https://doi.org/10.5281/zenodo.22861401). The new PDF walks through four distinct questions in the finite R15 Maxwell sequence: measured source-problem refinement, the separately reported conforming R5 spectral comparator, failure of the hist...

Beyond Usefulness: How Cognitive Evaluations and Relational Perceptions Shape ChatGPT Continued Subscription Intention

As generative AI adopts subscription models, understanding continued payment intentions is essential. Drawing on the expectation-confirmation model, this study integrates technical quality and human–AI relational perceptions to explain continued subscription intention for ChatGPT. Survey data from 565 paid users show t...

Seamful Design Considerations for Human-in-the-Loop Digital Phenotyping of Mental Health

Digital Phenotyping of Mental Health (DPMH) through passive sensing is a promising approach for personal health informatics and digital wellbeing. Its appeal lies in unobtrusiveness, making it appear seamless. However, this very quality leads users to find it impersonal, untrustworthy, and disengaging. To counteract ch...

Beyond transparency: Moderating roles of personalization and need for cognition in explainable AI (XAI) recommendations and perceived fairness

ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT: EMERGING APPLICATIONS, CLINICAL OPPORTUNITIES AND CHALLENGES

Diabetes mellitus is a serious chronic metabolic disease marked by continuous problems in the regulation of glucose and is linked to a wide range of cardiovascular, renal, neurological, ophthalmic and other complications. Because of the growing number of people with diabetes, the difficulty of providing individualized...