Topic

#Regulation

AI regulation refers to the laws and rules governing how artificial intelligence systems are built and deployed. The EU AI Act is the most comprehensive framework enacted so far.

40Articles
9Sources
54Avg. signal
arXiv cs.CL·

Which Institutional Frameworks Do Chatbots Assume? Auditing Jurisdictional Defaults in Multilingual LLMs

Audit of 7 LLMs (US/China) on 2,520 responses to 60 legal-administrative prompts in English and Mandarin. Models default to the institutional framework of input language: 74.5% of English responses adopt US framework, 53.3% of Chinese responses adopt China framework. Risk of jurisdictional misselection when preferred language differs from applicable jurisdiction.

BenchmarksAI safetyRegulation
SIG
78
HYP
00
arXiv cs.AI·

LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability

LLM-FACETS is an open-source framework for evaluating LLM factuality, epistemic calibration, and reproducibility. Web interface, plugin architecture, deterministic metrics (BLEU, ROUGE, BERTScore) run locally, log-probability visualization, multi-judge consensus, RAG Triad metrics. Designed for technical experts, domain experts, and compliance officers per EU AI Act and NIST standards.

EvalsAI safetyAlignment
SIG
78
HYP
00
arXiv cs.AI·

Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems

OADA is a governance framework for high-stakes AI systems that translates fairness metric instability, threshold sensitivity, and operational uncertainty into deployment-oriented assurance decisions. Tested on facial recognition and healthcare, it introduces Deployment Assurance Scores, escalation states, and Threshold Stability Zones to actively govern deployment readiness rather than rely on post-hoc auditing.

AI safetyAlignmentEvals
SIG
62
HYP
00