At OGS, we leverage modern technology to enhance operational efficiency, foster innovation, and better serve our community. Our AI Center of Excellence (CoE) ensures that every artificial intelligence solution we explore and deploy meets rigorous national standards for security, equity, efficiency, and ethical responsibility.
Strategic Vision & Operating Model
We operate under a Centralized CoE Model led directly by our executive leadership team. Our operations in the NIST AI Risk Management Framework (AI RMF 1.0), centralizing our oversight, ensure uniform data protection, responsible resource allocation, and consistent ethical standards across all OGS operations.
NIST AI Risk Management Lifecycle
1. Govern
Core leadership maintains policies, ethical thresholds, accountability structures, and organizational risk tolerance across all AI initiatives.
2. Map
Every proposed use case is categorized by operational context, identifying potential risks, data flows, and stakeholder impacts.
3. Measure
Systems are quantitatively and qualitatively evaluated for accuracy, bias, security vulnerabilities, and reliability before deployment.
4. Manage
Approved tools are continuously monitored, risk-mitigated, and refined through ongoing human-in-the-loop oversight.
Executive Governance & Leadership
Because OGS prioritizes streamlined decision-making, primary governance and approval rest directly with our core executive team:
| Executive Role | NIST & Governance Focus Area |
|---|---|
| Chief Executive Officer (CEO) | Strategic Alignment & Oversight (Govern): Sets overall vision, aligns AI adoption with institutional mission, and grants final authorization on high-impact initiatives. |
| Chief Administrative Officer (CAO) | Ethics & Impact Assessment (Map): Oversees policy compliance, ethical safeguards, operational integration, and team training protocols. |
| Chief Financial Officer (CFO) | Resource Allocation & ROI (Measure): Evaluates cost efficiency, manages vendor software investments, and tracks return on investment across deployments. |
| Chief Information Officer (CIO) | Technical Security & Data Safeguards (Manage): Directs technical architecture, cybersecurity defenses, model validation, and strict data privacy controls. |
Core Pillars of Trustworthy AI
Adopting IBM’s Five Pillars of Trustworthy AI, every tool considered or deployed at OGS adheres to strict ethical standards:
1. Explainability
AI-assisted outputs must be understandable and interpretable by human operators. Critical decisions always retain human review.
2. Fairness
We actively test algorithms to mitigate bias and ensure equitable treatment across all communities and service operations.
3. Transparency
We maintain clear visibility into where and how AI technology is used, eliminating “black box” automated decision systems.
4. Robustness
AI tools undergo thorough testing to ensure technical reliability, resilience against adversarial threats, and consistent output quality.
5. Privacy
Proprietary and sensitive data is never used to train unvetted public models. Strict data governance is enforced by our CIO.