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

arXiv:2605.27827v1 Announce Type: new Abstract: AI governance frameworks increasingly emphasize fairness, transparency, accountability, and lifecycle risk management in high-stakes domains. However, m

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28 May 2026

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

ICAN-Deploy: Identity-Stable Canary Deployment for Safety-Critical Embodied Agents

Predicting LLM Safety Before Release by Simulating Deployment

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning

AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime

SAFESHIELD: A Decision-Organization Framework for Deployment-Time Safety of Small Language Models

HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications

READY or Not: Reliable Enterprise Agent Deployment

The Reasoning Tax: Token Economics of LLM Reasoning Across Task Types and Deployment Contexts

Deployment-complete benchmarking

The Security Cost of Intelligence: AI Capability, Cyber Risk, and Deployment Paradox

Intelligent Base Station Deployment in Urban Wireless Networks: A Geographic Data-Informed Digital Twin Approach

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations

AI Deployment Accountability Engineering: A Vision for Accountable AI in Safety-Critical Socio-Technical Systems

Optimizing AI Inference Across the Deployment Stack

LLM Watermarking as Big Data Provenance: A Deployment-Oriented Systematization

Making Deployments Safe at Meta: Health Checks for Continuous Change-Safety

Towards Risk-free AI Agent Deployment

CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening

StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design

Deployment-Side Adaptiveness in Multi-Horizon Volatility Forecasting

From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol

Statistically-Guided Meta-Learning for Cross-Deployment Activity Recognition in Distributed Fiber-Optic Sensing

ROBOGATE: Adaptive Failure Discovery for Safe Robot Policy Deployment via Two-Stage Boundary-Focused Sampling

FDE-Bench: Evaluating LLM Agents for Deployment Environment Configuration

Partition Scores Are Not System Scores: Deployment-Fidelity Gaps in Decomposed Algorithm Selection

Efficient AI Model Deployment Using Quantization Analysis Tool

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture

Improving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds

How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification

A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams

Bayesian Deployment Approval for Learned Landing Controllers under Finite Rollout Validation

Strategically Deceptive Model Deployment in Performative Prediction

Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning

RHyVE: Competence-Aware Verification and Phase-Aware Deployment for LLM-Generated Reward Hypotheses

Efficient INT8 Single-Image Super-Resolution via Deployment-Aware Quantization and Teacher-Guided Training

MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs

Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requests

CityDeploy-Bench: Benchmarking Physics-Grounded Spatial Set Planning for Multi-Transmitter Network Deployment

Reliability Testing of Medical Model Performance under Distributed Deployment

EdgeVLN: Runtime-Aware Deployment Ready Quantized Vision Language Navigation Model

Context-Aware Pre-Deployment Evaluation of AI Systems: A Regulatory Framework for Nigerian Fintech

FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment

One Size Does Not Fit All: Setting Inference Depth from the Questions a Deployment Actually Asks

Real-World Deployment and Performance Characterisation of Fog-Based Deep Learning for Cold-Chain Temperature Prediction over LoRaWAN