Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
On 2025-05-13, a peer-reviewed framework was described for evaluating LLMs that automate summarising consultations into clinical notes. It combines an error taxonomy, iterative experimental comparisons, a clinical safety harm assessment, and the CREOLA interface, tested across 18 configurations with 12,999 clinician-annotated sentences.
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.
In an online cross-sectional study in France with 204 general practitioners and 942 patient histories, researchers compared AI to physicians in recording histories during initial consultations across categories such as chronic disease, surgical, obstetric, occupational, allergies, and family cancer history.
As of its publication date 2026-04-06, this peer-reviewed primer examined generative AI systems able to produce wholly or partially synthetic child sexual abuse material and catalogued reported harms from technical, psychological, criminological, and law enforcement sources.
As of the June 2026 publication date, the authors describe a rapid proliferation of AI-mediated digital afterlife technologies and a growing ethical literature on their risks, without a matching operational framework. They propose a nine-dimensional taxonomy and a two-tier constraint model where consent, fidelity/disclosure, and purpose serve as threshold conditions for permissibility.
By June 2026, researchers had tested whether people can tell real from synthetic faces and voices and whether that skill transfers across senses. In a preregistered study, participants classified both types of stimuli, and performance for each modality was significantly above chance when measured with signal detection theory.
By April 2026, researchers studied 150 mastere28099s-level preservice teachers at a German university as they collaboratively solved three authentic mathematical modeling problems with large language models, analyzing interaction worksheets, surveys, and interviews.
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