Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Researchers examined why fashion designers adopt Artificial Intelligence Generated Content, which is described as increasingly used in creative design. Using the Stimulus-Organism-Response framework combined with Self-Determination Theory, they surveyed 318 Chinese fashion-design practitioners and analyzed 21 items with PLS-SEM to link perceived risk, social influence and facilitating conditions to autonomy, competence, relatedness and behavioral intention.
A peer-reviewed survey published December 26, 2023 reviewed literature on fairness and bias in AI, focusing on sources such as data, algorithm, and human decision biases and the emerging issue of generative AI bias in synthetic media across healthcare, employment, criminal justice, and credit scoring.
This peer-reviewed review in GeroScience appraises CT-based prediction of hematoma expansion after spontaneous intracerebral hemorrhage, a major determinant of early deterioration. It compares contrast-enhanced signs like spot, leakage and iodine signs with non-contrast signs including blend, black hole, island, satellite, hypodensity and swirl signs, plus shape and heterogeneity, and evaluates composite scores and AI approaches including radiomics, machine learning and deep learning.
A scoping review published August 15, 2026 examined how nursing academics perceive and use AI in nursing education, synthesizing 15 studies from eight countries with 2004 academics. It found most believe AI will revolutionise education but actual use is selective and conservative, concentrated at the augmentation level for productivity and research writing rather than assessment or transformative pedagogy.
In four preregistered experiments with 4,439 participants, researchers tested how people who use AI tools at work are perceived. They found that AI users expect to be judged negatively and that observers do rate them lower on competence and motivation, with those judgments spilling over into hiring-related assessments.
A May 2025 peer-reviewed study surveyed 335 adults about AI anxiety, attitudes, use, and perceived knowledge. It found women reported higher anxiety and lower positive attitudes, use, and perceived knowledge than men, and that higher anxiety correlated with less positive attitudes overall.
On June 13 2025, Crime Science published a systematic literature review of AI and NLP for online fraud detection. The authors screened 2457 records and analyzed 223 studies, mapping data sources, algorithms, and evaluation metrics across 16 fraud types and summarizing best-performing methods for detecting scams in text.
Published March 2024, this peer-reviewed article analyzes automated systems used in public decision-making for migration, asylum and mobility. It finds that GDPR and AI Act definitions centered on fully automated decisions miss common practices where systems assist human decision-makers, and it proposes a taxonomy to support fundamental rights analysis.
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