DAGS Governing Body careers
DAGS (Deployment AI Governance Standard) defines what legitimate AI governance looks like at the point of deployment—where systems actually operate, decisions are made, and harm occurs.
DAGS is technology-neutral, vendor-neutral, and implementation-agnostic. It does not prescribe tools, architectures, or automation. Instead, it provides a normative, deployment-layer standard that multiple independent platforms, auditors, and advisory firms can implement consistently.
The standard is designed to complement existing regimes such as ISO/IEC 42001, the EU AI Act, and sectoral assurance requirements by filling a critical gap: a clear, testable definition of who is accountable for AI behavior in production, and how that accountability is exercised and evidenced.
DAGS exists to make AI governance legible, defensible, and operational.
DAGS is technology-neutral, vendor-neutral, and implementation-agnostic. It does not prescribe tools, architectures, or automation. Instead, it provides a normative, deployment-layer standard that multiple independent platforms, auditors, and advisory firms can implement consistently.
The standard is designed to complement existing regimes such as ISO/IEC 42001, the EU AI Act, and sectoral assurance requirements by filling a critical gap: a clear, testable definition of who is accountable for AI behavior in production, and how that accountability is exercised and evidenced.
DAGS exists to make AI governance legible, defensible, and operational.
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Paul Mitchell
AI governance architect and AI GRC manager. I design and own cross-system controls for AI operating under real regulatory, operational, and reputational risk.
Jones Day • Cleveland • $100k – $120k • 2 days ago
Panorama • Montreal • 6 days ago
Trustible AI • Arlington • $145k – $180k • 0.2% – 0.3% • 1 week ago
EVERFI • Washington DC • $160k – $175k • 1 week ago
Torro DigiHub • Chennai • ₹2L – ₹3.5L • No equity • 2 weeks ago
