Subscribe:
RSS feed
Truth Is Believing. Accuracy Is Knowing.
Browsing All posts tagged under »AI Governance«
The Best AI Is a Panel That Can Intelligently Disagree
July 3, 2026
The industry keeps asking which AI model is best. It's the wrong question. The best AI isn't a model at all — it's a panel that can intelligently disagree, and a human who knows how to resolve it.
Automation and Efficiency Are Not the Same Thing
July 1, 2026
Automation makes a process faster. That's all it does — and faster is only better if the process was right to begin with. A response to a question worth sitting with from Tanya Seda.
An Introduction to the Next Generation in AI: Stepping Into the Shadow for Good Governance
June 11, 2026
"'The AI said so' is not something you can defend to a board, a regulator, or an audit committee. This session is about what you say instead."
The Standard Wasn’t the Answer in 2008. Sovereignty Isn’t the Answer in 2026.
June 8, 2026
Why IT keeps getting blamed for failures that were decided before the platform was ever chosen.
Before You Appoint Someone to Own AI, Ask Whether AI Is a Thing You Own
June 2, 2026
What do a Chief Data Officer and Chief AI Officer have in common?
The Black Box Is Not the Problem. The Orchestration Black Box Is.
April 26, 2026
The model black box is unsolved. The orchestration black box is a design choice. Soon, courts will no longer accept the second.
When AI Errors Become Design Outputs: Why Pre-Incident Validation Is the Architecture That Matters Now
April 24, 2026
This is not the end of the black box. It is the end of the black box as an excuse.
1998 & 2008: Success. 2011 & 2026: The 92% Problem. What Went Wrong?
April 2, 2026
In 1998 and 2008, we asked the right question and got the right result. In 2011 and 2026, nobody asked it — and 92% of CIOs and CFOs are paying the price of uncertainty. The answer has been in the archive for 28 years.
Until Proven Otherwise: The Lens for Sustainable AI Adoption
July 6, 2026
0
Implementation Physics™ and Invariant Physics™ are, until proven otherwise, the lenses through which we should view sustainable and effective AI adoption and ongoing integration.