AI+ Policy Maker™
Empower Your Leadership with AI: Master Policy Development and Implementation for the Future
This course explores how AI can transform policy design, enabling learners to leverage intelligent technologies to enhance policy creation and decision-making efficiency. Participants develop expertise in ethical policy making, focusing on fairness, transparency, and responsible AI integration within regulatory and governance frameworks. The program emphasizes impact-centric strategies, equipping learners to design AI-powered policies that deliver measurable outcomes, strengthen institutional effectiveness, and improve governance performance.
Enrollment Fee:
MUR 5,980
What You'll Learn
1.1 Understanding AI: Definitions and Concepts
1.2 Historical Development of AI
1.3 Current AI Technologies and Applications
1.4 AI Trends and Future Directions
1.5 AI Terminology and Jargon for Policy Makers
2.1 Role of AI in Government and Public Services
2.2 Case Studies of AI in Public Administration
2.3 AI for Regulatory Compliance and Enforcement
2.4 Challenges of AI Adoption in Government
2.5 Policy Considerations for AI Implementation
3.1 Principles of AI Ethics
3.2 Bias, Fairness, and Discrimination in AI Systems
3.3 Privacy and Data Protection
3.4 Socio-Economic Impacts of AI
3.5 AI and Human Rights
4.1 Overview of AI Regulations Globally
4.2 Data Governance and Privacy Laws
4.3 Intellectual Property Rights in AI
4.4 Liability and Accountability in AI Systems
4.5 Developing AI Policies and Legislation
5.1 AI Safety and Security Challenges
5.2 Risk Assessment and Management Strategies
5.3 Cybersecurity and AI
5.4 Ensuring Reliability and Resilience
5.5 Incident Response and Crisis Management
6.1 AI and the Future of Work
6.2 AI’s Role in Economic Growth
6.3 Supporting AI Innovation and Entrepreneurship
6.4 AI in Developing Economies
6.5 Addressing Economic Inequalities
7.1 Developing National AI Strategies
7.2 Building AI Capabilities in the Public Sector
7.3 Public-Private Partnerships in AI
7.4 Funding and Investment in AI
7.5 Monitoring, Evaluation, and Continuous Improvement
8.1 Emerging AI Technologies and Trends
8.2 International Cooperation on AI Governance
8.3 AI and the Sustainable Development Goals (SDGs)
8.4 Public Engagement and Transparency
8.5 The Future of AI Policy Making
1. Understanding AI Agents
2. Case Study
3. Hands-On Activity
Prerequisites
- Familiarity with AI basics, including machine learning and data science fundamentals.
- Awareness of policy-making processes and governance structures.
- Understanding of data privacy principles and ethical concerns relevant to technology and AI.
- Ability to interpret data-driven insights, as these are crucial for policy formulation based on AI applications.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 5,980