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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Enterprise AI governance is becoming the real buying decision
AIAI Governance
Fresh agent launches and new vendor claims are colliding with a harder enterprise question: who can govern AI work once pilots turn into live operations.
Maya ChenApr 24, 20263 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Governance
April’s product launches and platform notes show that enterprise AI spending is shifting from raw capability to control, auditability and runtime guardrails.
Maya ChenApr 23, 20263 min read
Automation, infrastructure, and the business of applied AI.Read story
AIAI Governance
Anthropic’s April 16, 2026 launch put Claude Opus 4.7 near the top of major benchmarks, but cost, literal behavior, autonomy concerns, and mixed field reports still leave GPT-5.4 and Gemini 3.1 Pro looking safer for many teams.
Maya ChenApr 20, 202642 min read
Automation, infrastructure, and the business of applied AI.Read story