Artificial Intelligence & Ethics

Global: Hybrid Framework Detects LLM Hallucinations with High Efficiency Researchers have unveiled a hybrid detection framework that blends neuroscience-inspired signal design with supervised machine learning to identify hallucinations—plausible yet factually…

Global: AI Balances Security and Privacy in Healthcare, New arXiv Study Finds A paper submitted to arXiv on January 22, 2026 examines how artificial intelligence can simultaneously enhance security and…

Global: Study Reveals Vulnerability in LLM-Based Evaluation SystemsResearchers have demonstrated that large language model (LLM) judges can be easily misled when assessing agent performance, according to a new preprint posted…

Global: Researchers Propose Global Standard for AI Transparency and AccountabilityA coalition of researchers from several institutions has outlined a proposal for a worldwide framework that would standardize the exchange of…

Global: Survey Highlights Advances and Challenges in Onboard Edge AI LearningA recent arXiv survey published in May 2025 provides a comprehensive overview of onboard learning, an approach that enables real‑time…

Global: Cross-Risk Impacts of LLM Defense StrategiesResearchers have introduced a new evaluation framework, CrossRiskEval, to assess how defenses designed for one risk in large language models—such as safety, fairness, or…

Global: Study Finds High Risk of LLM Misuse in UK Cyber Security Master’s ProgramResearchers at a Russell Group university in the United Kingdom have evaluated the vulnerability of a certified…

Global: Survey Examines Eye Tracking in VR and Associated Privacy ConcernsAdvances in VR and Eye TrackingRecent progress in computer hardware, sensor technologies, and artificial intelligence has positioned virtual reality (VR)…

Global: Early Detection Framework Boosts NSFW Filtering Efficiency in Diffusion-Based Text-to-Image ModelsA team of AI researchers announced a new detection system on August 2025 that targets Not Safe For Work…

Global: Bias in LLM-Powered Recommendation Systems: Findings and Mitigation StrategiesA research team posted a new paper on arXiv in September 2024 that investigates how large language model (LLM) recommendation engines…