OMPSHUNYAYA·Sep 27🔍 Can Two Rulebooks Agree Today but Fail Differently Tomorrow?If two decision systems behave identically today, can controlled failures expose differences in their hidden rule structure?
GOA (Global Observation Architecture)·Sep 25TR-03 | Being Able to Explain Something Is Not the Same as Being Able to Carry It Into PracticeAI is rapidly reducing the cost of explanation.
InThoughts & ReflectionsbyIdeas Into Action·Jul 11I Stopped Searching for Scholarships. I Started Building an Intelligence System Instead.From information overload to smarter scholarship decisions with structure
Oleg Surkov | IndrasNet·Mar 18Why AI Governance Fails Without an Execution BoundaryThis is the case for execution-bound governance as a control layer.A response icon1A response icon1
Oleg Surkov | IndrasNet·Mar 17From Audit to Admissibility: Why AI Governance Must Move Into The Execution BoundaryMost AI governance systems today operate after the fact.A response icon1A response icon1
Anita Chaikovskaia·Feb 16Everyone Talks About Data-Driven MarketingWhy Do Companies Still Make Decisions on Gut Feel?
Nexumo·Feb 14“Optimal Policy” Is a Trap PhraseWhy that two-word promise can hide value conflicts, fragile assumptions, and real-world harm — and how to talk about policies with the…
Byot Tech·Feb 5How do you balance model accuracy vs explainability in AI-driven decision systems?1. Start with the business risk
Daniel Bates·Feb 4AI Systems Aren’t Objective. They’re Unmanaged.Earlier this week, I argued that AI doesn’t lack intelligence — it lacks judgment. This is where that gap shows up most clearly.
