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When the Algorithm Recommends, Who Is Responsible?
Introduction Leadership has always been about making decisions under uncertainty with incomplete information. That hasn't changed. What's changing is the nature of the support systems around those decisions — and the new accountability questions they create. According to McKinsey's 2026 State of Organizations report, AI has shifted from isolated tools to platforms sitting "at the center of workflows, decisions, and customer journeys." It's no longer optional infrastructure. I
Theoplis Stewart II
4 days ago2 min read


Govern Before You Build: A Plain-Language Guide to the NIST AI Risk Management Framework
Introduction The NIST AI Risk Management Framework exists to fix a specific problem: the people who understand AI technology can't always explain the risk, and the people who understand the risk don't always understand the technology. Released in January 2023, the AI RMF is a governance framework — a structured way for organizations to think about, talk about, and act on AI risks. The Four Functions GOVERN is the foundation — structures, policies, roles, and culture. MAP iden
Theoplis Stewart II
4 days ago2 min read


When the Referees Leave the Field: Military AI Is Advancing Without a Rulebook
Introduction In February 2026, diplomats, defense officials, and technology leaders gathered in A Coruña, Spain, for the third international summit on Responsible Artificial Intelligence in the Military Domain — a process known as REAIM. These summits have been, since their inception in 2023, one of the few serious multilateral efforts to establish guardrails on how governments use artificial intelligence in warfare. The outcome was sobering. Only 35 nations signed the summit
Theoplis Stewart II
4 days ago4 min read
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