AI Governance & Ethical Risk Manager
Govern AI inventory, ethical risk, oversight, monitoring and reassessment.
- AI governance
The operational need
This application connects the AI system inventory, ethical risk assessment, human oversight, monitoring and incidents, transparency and periodic reassessment — so that AI use is governed against responsible-AI principles with a clear, auditable record of oversight and accountability.
The application provides a developed operational starting point rather than a universal procedure. It demonstrates the core structure and workflow while leaving room for organisation-specific validation.
Typical tailoring
Organisation terminology, AI-system and risk categories, oversight and approval rules, monitoring and incident handling, reassessment cycles, workflow states, reporting, evidence requirements, integrations and existing data.
System boundaries
Where specialist systems already perform modelling, telemetry, financial or analytical functions, they can remain in place. DSLCore is intended to hold the governed operational layer around them: workflow, decisions, approvals, actions, evidence and reporting.
This is a working demonstration. An implementation would be tailored and validated against your organisation's terminology, controls and systems.