artificial intelligence

Artificial intelligence in aquatic food systems: Multimodal quality perception, state estimation, intelligent processing, and bioresource valorization

Artificial intelligence in child welfare and family services: a scoping review of applications and ethics

Artificial intelligence and corporate environmental performance: The mediating role of green AI practices and green intellectual capital

Impact of Digital Construction Technologies on Sustainability Awareness and Decision-Making in Civil Engineering Education

Digital technologies such as Building Information Modeling (BIM), Artificial Intelligence (AI), simulation platforms, and virtual and augmented reality are reshaping civil engineering education, yet their influence on sustainability awareness and decision-making is not well understood. This study surveyed 73 students e...

Who Is Sycophantic to Whom? Confident LLMs, Human Deference, and the Collapse of Trust Calibration

A baseline-corrected Human Deference Index is introduced to quantify this human-side sycophancy and argues that trustworthiness is a property of the human-AI pair, that sycophancy evaluations should measure both directions, and that learning interfaces must make reliability legible claim by claim.

Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems

This work presents contestable governance: specialist agents produce scored, cited arguments for disputed metadata decisions; a steward can accept, reject, modify, or add arguments before commit; and a governance record retains the evidence, interventions, and outcome.

PointerBench: A Diagnostic Benchmark for Fine-Grained GUI Grounding

POINTERBENCH is introduced, a diagnostic suite of 1,500 screenshot-instruction pairs probing three complementary capabilities: thin sub-element identification and geometric grounding in spreadsheets, character-level grounding in long-text documents, and mixed GUI grounding across 100 professional applications (POINTERB...

Can Loan Processors and Underwriters Spot AI-Edited Statements? An Empirical Study

This exploratory setting rather than population-wide detection accuracy is described, with three reviewer-package pairs and no genuine-file controls, and the findings describe this exploratory setting rather than population-wide detection accuracy.

Metacognitive Scaffolds Create Productive Friction for AI-Assisted Knowledge Work

It is found that scaffolds improve writing quality, with this boost persisting in short-lag transfer when scaffolds are removed, and there is evidence of improved topic recall three days later.

Impacts of generative AI skill development on academic adaptation and learning outcomes among university students

Understanding how university students perceive the development of their generative artificial intelligence (GenAI) skills over time can clarify how GenAI use relates to learning and academic outcomes. This study examined perceived skill-development trajectories, changes in learning practices, and associated academic ga...

Pluralistic Alignment in Large Language Models: Objectives, Human References, and Preference Representations

Pluralistic alignment aims to represent meaningful variation in human preferences rather than collapse heterogeneous judgments into a single target. Yet existing work often mixes three distinct questions: what pluralistic behavior a model should exhibit, whose preferences define the reference, and what evidence is suff...

TORUS: A Unified Closed-Loop Benchmark for Unified Audio Models

Unified audio models capable of audio understanding, audio generation and, increasingly, audio editing are proliferating rapidly. However, each capability is evaluated in isolation on specialized benchmarks and a basic question remains unanswered: can these models understand the audio they generate/edit i.e. do they ex...