NORMA is presented, an interactive web application that translates Article 10's qualitative requirements into measurable thresholds grounded in the fairness and data-quality literature, integrates a large language model for context-sensitive interpretation, and produces an explainable, per-dimension compliance report t...
Elisabetta Arba, A. Berardi, B. Estrada-Torres et al.· Proceedings of the 1st Inter...· 0 citations
This workflow provides a practical, interpretable, and capillary electrophoresis-compatible solution for forensic biogeographical ancestry inference and micro-genetic structure mapping.
Mei-Ming Cai, Lisiteng Luo, Yue Liu et al.· Cell Reports· 0 citations
Abstract Digital forensics plays a key role in investigating different types of crimes. It involves analyzing evidence from electronic devices, social media, and system logs. However, investigators face major challenges due to the large size of digital data. Information from networks, smartphones, and online platforms...
Manish Kumar· Journal of Forensic Sciences· 0 citations
A mixed-methods study of the implementation of a patient-friendly results tool in oncology provider workflows to facilitate improved communication of radiology results to oncology patients to close an important oncology care gap.
M. R. Baumann, H. J. Barton, P. Voorheis et al.· medRxiv· 0 citations
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Modern applications of AI rely on increasingly complex models. Explainable AI (XAI) has emerged as a set of techniques aimed at improving model transparency. However, existing XAI methods typically assume input features to be inherently interpretable, or they rely on intermediate internal abstractions that are difficul...
T. Schnake, Doreen Schöppenthau, Alexander Meyer et al.· 0 citations
AI is already writing a majority of code for frontier AI labs. This creates a safety risk if there is insufficient human oversight. Existing work proposes minimum comprehension thresholds and unaided checks to mitigate this. To our knowledge, however, there is currently no published frontier-AI assurance regime that re...
Ronald J. Bodkin, B. Sokhansanj, Gillian K. Hadfield· 0 citations
Generative AI speeds, and mostly improves, professional work, but there is concern that users who delegate both the production and the evaluation of an answer may accept weak output and engage less with the underlying reasoning (cognitive surrender). Interventions proposed so far, such as unassisted practice or slowing...
Human-machine systems rarely operate at a fixed level of AI autonomy. As operators and AI systems collaborate over time, control must shift: the AI can take on more responsibility when collaboration is stable, maintain its current role when evidence is ambiguous, or return control to the human when conditions deteriora...
Vicente Pelechano, Antoni Mestre, Manoli Albert et al.· 0 citations
Enterprise generative AI applications require robust safety mechanisms that can accommodate diverse risk postures, evolving policies, and varying latency constraints. Current guardrail solutions often suffer from rigidity, relying on fixed policy sets and offering limited transparency or reasoning flexibility. We prese...
Businesses today generate vast amounts of information through sales transactions, customer interactions, marketing campaigns, financial operations, websites and digital platforms. The challenge is no longer simply collecting this information. Organisations need professionals who can transform complex datasets into unde...
Upgrad (India)· Zenodo (CERN European Organi...· 0 citations
Banking and insurance institutions face increasing pressure to transform their business models through digital technologies while advancing sustainability objectives, yet existing research remains fragmented in explaining how digital innovation is translated into sustainable outcomes. This systematic review applies PRI...
Sonny Supriyadi, Mohammad Hamsal, Asnan Furinto et al.· Figshare· 0 citations
This project develops a unified structural framework—Consistency Theory—for understanding how narrative worlds maintain coherence through the integration of anomalies, cognitive fluctuations, cultural distortions, and multi-directional causal structures. Rather than treating contradictions, gaps, or irregularities as f...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
MIT News · Artificial Intelligence· news.mit.eduOct 18, 2026
