About the course
Course Type
Executive Leadership | AI Governance Capstone Simulation
Institution
C-Lab Institute
Overview
Artificial Intelligence in the public sector carries consequences far beyond operational efficiency — it shapes citizens’ rights, trust, and democratic legitimacy.
This capstone is the culminating stage of the C-Lab Institute AI Responsibility pathway. Participants are placed in a high-stakes government decision scenario involving the deployment of an AI system for public welfare eligibility assessment.
Under political, legal, and societal pressure, leaders must determine whether the system should proceed, pause, or be redesigned.
This is not a theoretical exercise.
It is a governance decision under scrutiny.
Capstone Objective
Participants will act as Chair of an AI Governance Committee and prepare a formal Ministerial Advisory Memorandum recommending a responsible course of action.
The capstone evaluates the leader’s ability to:
• Identify public, ethical, and regulatory risks
• Assess algorithmic fairness and due process implications
• Design oversight and accountability structures
• Propose audit, transparency, and appeal mechanisms
• Make a defensible go / no-go deployment recommendation
What Participants Must Submit
A structured 1,800–2,000 word Ministerial Governance Brief including:
-
Risk Identification
-
Strategic risk
-
Legal exposure
-
Bias and fairness risk
-
Public trust impact
-
Reputational implications
-
-
Governance Framework Proposal
-
Oversight committee structure
-
Human-in-the-loop controls
-
Transparency and explainability standards
-
Vendor accountability measures
-
Appeals and redress mechanisms
-
-
Final Recommendation
-
Deploy / Modify / Pause / Withdraw
-
Conditions required for responsible deployment
-
-
Reflection
“What does responsible AI leadership require when public trust is at stake?”
Assessment Criteria
Submissions are evaluated on:
• Depth of Risk Analysis
• Governance Design Quality
• Ethical & Public Accountability Awareness
• Decision Logic & Justification
• Strategic Clarity
Award
🏅 300 Responsibility Coins
📜 C-Lab Institute AI Responsibility Capstone Certificate
Primary 3R Dimension: Responsibility (Do)
Progression Path: Leader → Fellow
Closing Statement
AI Responsibility is not about avoiding risk.
It is about governing risk with clarity, courage, and accountability.
In public service, trust is the ultimate metric.
Requirements
- Programme Alignment:C-Lab AI Leadership Pathway – Responsibility Stage
- Coin Allocation:Responsibility Coins
- Prerequisite:Completion of AI Readiness for Leaders
Course content
Enrolment options
AI Responsibility Capstone: Algorithmic Decision-Making in Public Services
Course Type
Executive Leadership | AI Governance Capstone Simulation
Institution
C-Lab Institute
Overview
Artificial Intelligence in the public sector carries consequences far beyond operational efficiency — it shapes citizens’ rights, trust, and democratic legitimacy.
This capstone is the culminating stage of the C-Lab Institute AI Responsibility pathway. Participants are placed in a high-stakes government decision scenario involving the deployment of an AI system for public welfare eligibility assessment.
Under political, legal, and societal pressure, leaders must determine whether the system should proceed, pause, or be redesigned.
This is not a theoretical exercise.
It is a governance decision under scrutiny.
Capstone Objective
Participants will act as Chair of an AI Governance Committee and prepare a formal Ministerial Advisory Memorandum recommending a responsible course of action.
The capstone evaluates the leader’s ability to:
• Identify public, ethical, and regulatory risks
• Assess algorithmic fairness and due process implications
• Design oversight and accountability structures
• Propose audit, transparency, and appeal mechanisms
• Make a defensible go / no-go deployment recommendation
What Participants Must Submit
A structured 1,800–2,000 word Ministerial Governance Brief including:
-
Risk Identification
-
Strategic risk
-
Legal exposure
-
Bias and fairness risk
-
Public trust impact
-
Reputational implications
-
-
Governance Framework Proposal
-
Oversight committee structure
-
Human-in-the-loop controls
-
Transparency and explainability standards
-
Vendor accountability measures
-
Appeals and redress mechanisms
-
-
Final Recommendation
-
Deploy / Modify / Pause / Withdraw
-
Conditions required for responsible deployment
-
-
Reflection
“What does responsible AI leadership require when public trust is at stake?”
Assessment Criteria
Submissions are evaluated on:
• Depth of Risk Analysis
• Governance Design Quality
• Ethical & Public Accountability Awareness
• Decision Logic & Justification
• Strategic Clarity
Award
🏅 300 Responsibility Coins
📜 C-Lab Institute AI Responsibility Capstone Certificate
Primary 3R Dimension: Responsibility (Do)
Progression Path: Leader → Fellow
Closing Statement
AI Responsibility is not about avoiding risk.
It is about governing risk with clarity, courage, and accountability.
In public service, trust is the ultimate metric.
- Enrolled students: There are no students enrolled in this course.

