Who Is Responsible When an AI System Fails?
I keep thinking about the moment after a bad decision ships, when everyone wants it to be “the system’s fault” and nobody wants to be the person who signed the paperwork that made it possibl
# AI Law and Accountability
Professional duty, public failures, courts, rules, and ownership.
Turning the OECD AI Principles Into Corporate Duties
The demo always feels clean. Then the inputs get messy, the edge cases show up, and the first “small” model tweak lands as a large business fact. I feel the pressure right there: everyone wa
The New Cross-Border Duty to Keep Humans Responsible for AI
A few weeks ago, a product update landed and the words felt harmless. The vendor said it would “improve oversight,” and it wrapped that claim in new logging and a new workflow. I read past t
What the EU AI Act Requires From High-Risk Systems
Today I caught myself doing the old legal-ops move: translating a complicated rule into the smallest set of choices that still carry consequences. The EU AI Act does that for high-risk syste
GDPR Accountability and AI Governance: Where Do the Duties Meet?
There is a moment that keeps repeating in my work. Not the dramatic one. The quiet one. The moment you realize your system might be technically defensible, but it still could decide wrong. M
How to Explain an AI Decision to the Person Affected
The hard part is not getting the system to run. The hard part is telling the person why it acted, when you can feel their hope tighten into anger. If I want accountability, I have to give th
Using the NIST AI Risk Management Framework Without Turning It Into Paperwork
When the demo ends, the pressure starts. I feel it in the pause before someone clicks “go live.” It is not fear of AI as a concept. It is fear of owning what happens after the model answers,
ISO/IEC 42001: Useful Management System or Compliance Theater?
I do not buy “trust” anymore. Not in a world where a demo can turn into a public failure overnight, and where the last people holding the bag are the ones whose names were attached to the wo
Public-Sector AI Accountability Versus Private-Sector Promises
The demo always feels clean while it runs. Then it stops. The questions do not.
The Algorithmic Transparency Record Every Public AI System Should Keep
I feel it every time a public AI system goes quiet and then something goes wrong. There is a brief window where people still believe they can explain the work. I also feel the pull to hide g