Responsible AI Governance
Lightbridge Labs Responsible AI Governance is a one-day training program for compliance, legal, and risk professionals who need practical working knowledge of AI governance. The program covers governance frameworks, ISO 42001, bias detection methods, EU AI Act requirements, and the organizational structures needed to sustain responsible AI oversight at scale.
Program curriculum
The Regulatory Landscape
EU AI Act, NIST AI RMF, state-level regulations, and sector-specific requirements. Where regulation stands today, what is coming, and what your organization needs to prepare for.
ISO 42001 Foundations
Overview of the international AI Management System standard. Key requirements, clause structure, implementation approach, and how ISO 42001 relates to ISO 27001 and other management system standards.
AI Risk Assessment
Systematic identification of AI-related risks. Risk categorization, impact analysis, likelihood assessment, and mitigation planning. Hands-on exercise building an AI risk register.
Bias and Fairness
Sources of AI bias, quantitative fairness metrics, disparate impact testing, bias audit methodologies, and remediation strategies. Case studies from real-world governance failures.
Building a Governance Program
Organizational structures, policies, processes, and controls for AI governance. Roles and responsibilities, review boards, incident response, monitoring, and continuous improvement. Template-based workshop.
Taught by a team operating to ISO 42001 controls.
Lightbridge Labs operates to ISO 42001 controls, with certification in progress. Our instructors teach from operational experience.
Common questions
- Who should attend the Lightbridge Labs Responsible AI Governance training?
- This program is designed for compliance officers, legal counsel, risk managers, internal auditors, data protection officers, and anyone responsible for governing AI systems within their organization. No technical AI background is required.
- What governance frameworks does this training cover?
- The training covers ISO 42001 (AI Management Systems), NIST AI Risk Management Framework, the EU AI Act, and emerging state-level AI regulations in the US. Participants learn how these frameworks interact and how to build a governance program that satisfies multiple requirements.
- Does this training prepare participants for ISO 42001 certification?
- This training provides a solid foundation for understanding ISO 42001 requirements. For organizations pursuing certification, Lightbridge Labs offers a separate ISO 42001 readiness consulting engagement that includes gap analysis, policy development, and audit preparation. The training and consulting complement each other.
- What practical tools do participants receive?
- Participants receive AI risk assessment templates, governance policy templates, bias audit checklists, regulatory mapping worksheets, incident response plan templates, and a governance maturity self-assessment tool. All materials are immediately applicable.
- How does this training address AI bias?
- The training includes a dedicated module on bias detection and mitigation. Participants learn to identify common sources of AI bias, understand quantitative fairness metrics, evaluate AI systems for disparate impact, and design mitigation strategies. Real-world case studies illustrate consequences and remediation approaches.
- Can this training be combined with the AI Literacy for Business Leaders program?
- Yes. Many organizations schedule both programs in sequence: AI Literacy for Business Leaders on day one for the executive team, followed by Responsible AI Governance on day two for the compliance and legal teams. This builds aligned understanding across leadership and governance functions.
Build governance capability before you need it.
Contact us to schedule Responsible AI Governance training for your compliance and risk teams.