15 results for "governance"
Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents
Autonomous AI agents can remain fully authorized and still become unsafe as behavior drifts, adversaries adapt, and decision patterns shift without any code change. We propose the \textbf{Informationa…
How I Governance-Proofed Our Bedrock Agents Across Multiple AWS Accounts
Part 2 of 4 — Securing Agentic AI on AWS: A Cloud Engineer's Playbook In Part 1, I fixed 11...…
HKU launches School of Governance and Policy to foster global policy dialogue
New interdisciplinary learning and policy research hub convenes global top-tier academics to nurture policymakers and connect East and West through Hong Kong…
Avanti Capital Featured by FO Pro for Building a Multi-Generational Family Office Rooted in Governance, Stewardship and Shared Purpose - Morningstar
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Cloudflare just shipped enterprise MCP governance, is this where the industry is heading or does nobody care
Cloudflare wrapped Agents Week last week. The enterprise MCP stuff caught my eye. They shipped MCP server portals that aggregate multiple upstream servers behind Cloudflare Access auth. Code Mode coll…
SMCI: From Bad To Worse
Super Micro (SMCI) faces trust and governance risks as rumors of Oracle canceling $1B+ orders raise demand concerns.…
A Decoupled Human-in-the-Loop System for Controlled Autonomy in Agentic Workflows
AI agents are increasingly deployed to execute tasks and make decisions within agentic workflows, introducing new requirements for safe and controlled autonomy. Prior work has established the importan…
Active Inference: A method for Phenotyping Agency in AI systems?
The proliferation of agentic artificial intelligence has outpaced the conceptual tools needed to characterize agency in computational systems. Prevailing definitions mainly rely on autonomy and goal-d…
AI Identity: Standards, Gaps, and Research Directions for AI Agents
AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous human supervision. This creates a problem no current infrastructure is …
MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation
The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparency and governance. However, manual creation of Model and Data Cards is not scalable, while automate…
Structural Enforcement of Goal Integrity in AI Agents via Separation-of-Powers Architecture
Recent evidence suggests that frontier AI systems can exhibit agentic misalignment, generating and executing harmful actions derived from internally constructed goals, even without explicit user reque…
An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress
As large language models (LLMs) are increasingly deployed in high-stakes and operational settings, evaluation strategies based solely on aggregate accuracy are often insucient to characterize system r…
Right-to-Act: A Pre-Execution Non-Compensatory Decision Protocol for AI Systems
Current AI systems increasingly operate in contexts where their outputs directly trigger real-world actions. Most existing approaches to AI safety, risk management, and governance focus on post-hoc va…
FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data
The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), maintained by the Observational Health Data Sciences and Informatics (OHDSI) collaboration, enabled the harmonisation of el…
AI reality check: Here's what three companies learned building wallets, homes, and games
Executives from Citi, Home Depot, and Capcom describe early work with AI agents While AI agents have moved from experimental tools to customer-facing workers in a matter of months, the next challenge …