AI-Augmented Knowledge Stewardship
Jump to navigation
Jump to search
A AI-Augmented Knowledge Stewardship is an AI-augmented knowledge management practice that involves human-AI collaboration in systematically governing knowledge assets through collaborative creation, enrichment, validation, and preservation across their lifecycle.
- AKA: AI-Assisted Curation, AI-Enhanced Knowledge Governance, Machine-Augmented Knowledge Management, Intelligent Knowledge Stewardship.
- Context:
- It can typically retain Human-AI Complementarity with final human editorial control.
- It can typically ensure Provenance Auditability of every AI change.
- It can typically maintain Continuous Quality Metrics including completeness metrics, accuracy metrics, and bias metrics.
- It can typically align with Ethical Alignment Principles based on the steward's north star.
- It can often incorporate Ingestion Bots that parse knowledge sources and emit draft knowledge pages.
- It can often utilize LLM Write-Back Layers as REST servers or MCP servers to validate and commit knowledge edits.
- It can often employ Semantic Monitors to trigger alerts on ontology drift.
- It can often feature Review Dashboards to surface knowledge diffs, sentiment analysises, and coverage gaps.
- It can range from being a Simple AI-Augmented Knowledge Stewardship to being a Complex AI-Augmented Knowledge Stewardship, depending on its AI-augmented knowledge stewardship integration level.
- It can range from being a Manual-First AI-Augmented Knowledge Stewardship to being an AI-First AI-Augmented Knowledge Stewardship, depending on its AI-augmented knowledge stewardship automation priority.
- It can range from being a Single-Domain AI-Augmented Knowledge Stewardship to being a Multi-Domain AI-Augmented Knowledge Stewardship, depending on its AI-augmented knowledge stewardship domain scope.
- It can be applied in Personal Research Knowledge Bases such as GM-RKB.
- It can be applied in Institutional Knowledge Repositorys such as lab notebook repositorys or policy manual repositorys.
- It can be applied in Corporate Wiki Systems such as product specification wikis or SOP wikis.
- ...
- Example(s):
- Counter-Example(s):
- Manual Knowledge Stewardship, which lacks AI augmentation.
- Fully Automated Knowledge Management System, which lacks human-AI complementarity and human editorial control.
- Static Knowledge Repository, which lacks continuous quality metrics and ontology drift detection.
- See: Personal Research Knowledge Base, LLM Write-Back Layer, Knowledge Stewardship Task, Human-AI Collaboration Protocol, Knowledge Base Management System, Knowledge Base Management Task, AI Knowledge Curation Agent, Semantic Wiki System.