Tag archive
Model Risk
Coverage of model failures, evaluation gaps, risk controls, and accountability issues in AI systems.
Evaluation, controls, and deployment risk.
Use this archive to follow a cross-cutting theme that appears across more than one category or topic.
9 published stories linked to this tag.
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AIAI Governance
The May 5 CAISI agreements with Google DeepMind, Microsoft, and xAI turn frontier-model testing into a more practical signal for enterprise AI governance and procurement.
Maya ChenMay 9, 202613 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Agents
Anthropic and FIS are pushing AI agents into banking, compliance, research, and finance operations, turning enterprise AI from pilot work into a controls test.
Maya ChenMay 7, 202612 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Governance
ServiceNow tied AI Control Tower to Microsoft Agent 365, Action Fabric, Otto, and new partner integrations as enterprises look for stronger agent controls.
Maya ChenMay 5, 202614 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Governance
OpenAI, Cisco and AWS all pointed to the same problem this month: enterprises want AI agents in production, but governance and trust controls are lagging.
Maya ChenApr 29, 20266 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Governance
Fresh enterprise agent launches and new survey data are pointing to the same bottleneck: companies want automation, but they still do not trust loose agent authority.
Maya ChenApr 26, 20264 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Governance
New agent launches are expanding faster than enterprise confidence, and the gap between pilot excitement and production trust is turning into the main buying problem.
Maya ChenApr 25, 20264 min read
Automation, infrastructure, and the business of applied AI.Read story