Human-in-the-Loop Is a Workflow, Not a Slogan
Specify where people inspect AI-supported work, what evidence they need, and when they have authority to halt the process.
KNOWLEDGE ARCHIVE / RELEASE 01
Practical methods for AI, instructional design, maritime workforce education, applied research, educational technology, and R&D—written to move from idea to evidence to responsible operation.
SELECT A CHANNELSix connected domains. Each channel opens a focused field archive.
Methods, decision tools, and implementation notes from across the archive.
Specify where people inspect AI-supported work, what evidence they need, and when they have authority to halt the process.
Make readiness claims evidence-based, component-specific, and explicit about environment, integration, and remaining risk.
Evaluate learning platforms against priority journeys, administrative reality, access conditions, and evidence needs.
Convert a broad concern into a bounded question with a defined decision, population, comparison, outcome, and timeframe.
Unpack competence tables into observable actions, conditions, evidence, and practice while preserving the governing standard.
Diagnose capability, opportunity, motivation, tools, and environment before prescribing instruction.
Turn broad principles into a short decision aid that tells people what data, tasks, review, and documentation are acceptable.