by lucent | Nov 4, 2026 | Automation, Governance, Workflow |
A system can record that someone approved an action without establishing that the person understood what would happen or had a practical opportunity to choose otherwise. Meaningful human authorization connects a person’s judgment to a sufficiently clear action: what...
by lucent | Nov 3, 2026 | Automation, Governance, Information Architecture, Workflow |
Decision context is the information that makes a choice understandable: the question being answered, the evidence available, the constraints that mattered, the alternatives considered, and the uncertainty that remained when someone decided. A record that says “we...
by lucent | Nov 3, 2026 | Automation, Governance, HITL, Workflow |
Governance at the point of action means making the basis, scope, and limits of an action understandable—and enforcing the relevant boundaries—when a workflow is about to change something that matters. A policy may define who can publish an article, deploy software, or...
by lucent | Nov 3, 2026 | Automation, Cybernetics, Governance, Workflow |
A feedback loop can respond only to the information that reaches it. Choosing what to observe therefore shapes what the loop can correct—and what it may continue to miss. Task completion time can reveal one aspect of usability. It cannot, by itself, establish whether...
by lucent | Nov 3, 2026 | Automation, Cybernetics, Governance, HITL |
Cybernetics is the study of communication and control in systems, especially how information about what is happening can influence what happens next. It brings together questions about feedback, regulation, uncertainty, and behavior across machines, living organisms,...
by lucent | Nov 3, 2026 | Automation, Governance, Workflow |
AI systems engineering is the work of designing, integrating, testing, and operating the complete system around an AI model. It includes the model’s behavior, but also the information it receives, the software that calls it, the tools it can use, the records it...
