AI Governance
7 posts on this topic — practical guidance from Shawn Livermore on fractional CTO, AI, and technology leadership.
When Chatbots Give Way to Agents, Governance Has to Come First
Ethan Mollick's 'The Twilight of the Chatbots' documents a real capability threshold in 2026. The enterprise questions it leaves open — agent authorization, audit trails, and decision accountability — are the ones technology leaders need to answer before the first 14-hour autonomous run.
Read post →The First Cross-Lab AI Safety Rubric Just Shipped. Your Risk Register Is Missing It.
On July 1, 2026, Anthropic published a cross-lab jailbreak severity framework built with Amazon, Microsoft, and Google. Informal AI risk management now has a limit.
Read post →The EU AI Act's High-Risk Enforcement Deadline Is Six Weeks Away
August 2, 2026 is when EU AI Act compliance becomes enforceable for high-risk systems. Most US mid-market firms with EU exposure haven't started conformity checks.
Read post →The AI Governance Gap Your CTO Cannot Close Alone
Managed AI agents inside enterprise systems need their own governance layer. Here is why the CTO and CAIO roles diverge, and where the gap already costs companies.
Read post →The EU Is Building a Sovereign AI Model. The Enterprise Implications Are Practical, Not Political.
On June 19, the EU picked the EUROPA Consortium to build a sovereign, open-source 400B+ parameter model across all 24 EU languages. It shifts compliance and risk.
Read post →What a Fractional CAIO Delivers That Your CTO Cannot
The CTO owns the technology function. The CAIO owns the AI function, and those are not the same. Here is what falls through the gap and what a fractional CAIO fixes.
Read post →AI Governance for Executives: What Your Board Will Ask Before You Ship
AI governance is a board-level responsibility, not a developer concern. Here is what regulators, investors, and directors will scrutinize before you deploy.
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