AI Governance and Strategy Officer

PROGRAM STRUCTURE
Six modules over twelve weeks, combining in-person learning with virtual live sessions.

Module 1: Strategic Foundations of Artificial Intelligence and Organizational Readiness (In-person block)
This opening module establishes a shared strategic and conceptual base, framed around why AI requires governance, not just innovation enthusiasm. Participants examine AI's organizational impact, value creation pathways, risk categories, and capability requirements. The in-person format allows deep case-based learning, scenario analyses, and interactive exercises. Participants assess their organization’s AI maturity and readiness across governance, skills, processes, human factors, and oversight. This module anchors the strategic logic of the program while clarifying the non-technical nature of the AI Governance and Strategy Officer role.

Module 2: Human Cognition, Behavior, and the Psychology of AI Adoption

(In-person, block)
This module addresses the behavioral risks that arise from AI introduction. Participants analyze cognitive offloading, overreliance, anchoring, automation bias, and identity-related resistance. They explore employee anxieties, change dynamics, and social mechanisms that determine whether AI strengthens or undermines organizational performance. This component is a unique differentiator of the SBS program. It enables participants to understand the human factors that classical governance frameworks underplay but which often determine whether AI initiatives succeed or fail.

Module 3: Governance Architectures, Risk Controls, and AI Assurance in Practice
This module introduces the operational structures that form the foundation of AI governance. It teaches participants how to design AI governance frameworks, create AI registers, define risk classification systems, set up model documentation and audit trails, and conduct AI impact assessments. Participants learn the governance lifecycle from problem definition to deployment oversight and monitoring. The module distinguishes clearly between the responsibilities of technical teams and governance teams and gives actionable templates for assurance processes, escalation pathways, and compliance mechanisms.

Module 4: Responsible AI, Regulation, and Ethical Decision-Making for Organizations
This module contextualizes AI governance within ethical and regulatory architectures. Participants study global trends in AI regulation, with emphasis on the EU AI Act, GCC emerging frameworks, African Union data policies, and sector-specific guidelines (financial services, healthcare, education). They learn to translate legal requirements into actionable organizational processes, such as documentation obligations, human oversight requirements, transparency duties, and risk mitigation strategies. Ethical reasoning frameworks support participants in navigating dilemmas around fairness, explainability, discrimination, surveillance, and autonomy.

Module 5: AI-Driven Transformation, Capability Building, and Strategic Alignment
This module links governance to transformation. Participants examine how AI alters organizational structures, workflows, communication, and leadership responsibilities. They learn how to build internal capability portfolios, align AI initiatives with strategic objectives, and avoid the efficiency-mediocrity trap. The module covers cultural readiness, skill development, communication architectures, and responsible experimentation. Participants analyze real-world transformation cases and identify mechanisms for sustaining human judgment and organizational integrity as AI becomes embedded across functions.

Module 6: Global Trends, Societal Implications, and Strategic Foresight for AI Leaders
The final module positions the AI Governance and Strategy Officer within broader societal and global realities. Participants explore long-term labor-market shifts, skill transformations, dual-use dilemmas, geopolitical AI trajectories, and digital inequality, particularly in African and Middle Eastern contexts. They learn to apply foresight methods to anticipate societal risks, regulatory evolutions, and strategic disruptions. This module prepares graduates to advise their organizations not only operationally but also in long-horizon planning.

• Registration Fee: CHF 150 (part of the overall course fee). This fee is non-refundable if the participant cannot attend.
• Refund Policy:
• The course fee is invoiced 3 months prior to the course start.
• 100% refund if canceled 4 weeks or more before the course start.
• 30% refund if canceled 2 weeks before the course start.
• No refund if canceled less than 2 weeks before the course start.