Artificial Intelligence & Ethics

Global: New Framework Improves LLM Unlearning While Preserving PerformanceIn November 2025, researchers posted a study on arXiv describing Forgetting-MarI, a framework designed to selectively remove the influence of specific training…

Global: New Study Links LLMs, Recourse, and Bandits for Personalized MedicineUnified Framework for High‑Stakes Decision‑MakingA team of researchers has introduced a unified framework that integrates algorithmic recourse, contextual bandits, and…

Global: Study Explores Privacy Practices Among Users of AI Companion ChatbotsOn January 13, 2026, researchers Hsuen‑Chi Chiu and Jeremy Foote released a paper examining how individuals manage personal information when…

Global: Adaptive Jailbreak Architecture (AJAR) Introduced for Red‑Teaming Autonomous LLM AgentsResearchers have unveiled a new framework called AJAR (Adaptive Jailbreak Architecture for Red‑teaming) aimed at evaluating safety risks of autonomous…

Global: Direct Communication Raises LLM Agent Cooperation, Curriculum Training Shows Payoff Decline, Study FindsA recent arXiv preprint reports that a simple one‑word communication channel significantly increased cooperative behavior among large…

Global: Low‑Cost Task‑Level Workflow Generation Framework Reduces Token Use in LLM‑Based Multi‑Agent SystemsA research team has introduced a low‑cost task‑level workflow generation framework called SCALE for large‑language‑model (LLM) powered multi‑agent…

Global: New Framework Promotes Fairness in Graph Machine UnlearningResearchers including Ziheng Chen, Jiali Cheng, and colleagues have unveiled a novel approach to machine unlearning on graph-structured data. The method, detailed…

Global: AI Agents Designed to Enhance Job Referral Requests Show 14% Predicted Success Boost for Weaker SubmissionsResearchers have introduced a pair of artificial‑intelligence agents aimed at improving the quality of…

Global: Study Highlights Economic Inequities in Machine Learning Data Value Chain A new study released on arXiv in January 2026 examines the structural unsustainability of the machine‑learning data value chain,…

Global: New Framework Proposed for Detecting and Mitigating Hallucinations in Large Language ModelsResearchers Ahmad Pesaranghader and Erin Li submitted a paper to arXiv on 14 Jan 2026 that proposes an…