29
Jul
The Slow Failure
7 min read
Responsible AI
29
Jul
AI Reliability Is Not Uptime
AI uptime does not prove AI reliability. A system can remain online while its evidence, context, quality or operational capability has already failed. Part 1 explains why AI availability must be measured at the point of business value.
11 min read
29
Jul
Introduction: Series -The Reliability Illusion
AI systems can remain online while their reliability has already failed. This introduction presents a new series on semantic outages, drift, AI agents, monitoring, self-healing and the governance controls CISOs need to keep AI under control.
14 min read
09
Jul
The AI Officer Is Not the New CISO
Appointing one person “responsible for AI” does not create control. It creates a super-role with responsibility for everything and authority over little. AI governance needs coordination — while security, privacy, business ownership and assurance remain distinct.
10 min read
05
Jul
Human in the Loop Is Becoming a Dangerous Fiction
A human click is not human control. Oversight fails when people lack the time, authority, evidence or confidence to challenge AI output. Real accountability requires humans who can understand, intervene, stop and reverse decisions when it matters.
9 min read
05
Jul
The AI Control Gap
AI governance is becoming too small for the risks it is meant to manage. The real challenge is no longer responsible AI use, but whether organizations can still see, control, explain and stop the systems shaping their data, decisions, costs and dependencies.
8 min read
30
Jun
AI Compliance Is Not the Same as AI Control
Policies, registers and committees are necessary. But they do not prove control. AI governance becomes real only when organizations can observe what changes, detect what goes wrong, intervene quickly and explain what happened after the fact.
8 min read
29
Jun
The New AI Governance Model: Control Before Scale
10 min read