AI+ Policy Maker™

Empower Your Leadership with AI: Master Policy Development and Implementation for the Future

• AI-Driven Policy Design: Leverage AI to transform policy creation and improve decision-making efficiency
• Ethical Policy Making: Ensure fairness and transparency while integrating AI in responsible policy frameworks
• Impact-Centric Frameworks: Create AI-powered policies that drive measurable outcomes and enhance governance efficiency

Module 1: Introduction to Artificial Intelligence

• 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

Module 2: AI in Governance and Public Policy

• 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

Module 3: Ethical, Social, and Human Rights Implications of AI

• 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

Module 4: Legal and Regulatory Frameworks for AI

• 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

Module 5: AI Risk Management and Security

• 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

Module 6: Economic Impacts of AI

• 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

Module 7: AI Strategy, Implementation, and Collaboration

• 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

Module 8: Shaping the Future of AI Policy

• 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

Optional Module: AI Agents for Policy Maker

• 1. Understanding AI Agents
• 2. Case Study
• 3. Hands-On Activity

Tools you will explore

• TensorFlow
• SHAP (SHapley Additive exPlanations)
• Amazon S3
• AWS SageMaker

Exam: 50 questions, 70% passing, 90 minutes, online proctored examInstructor-led OR Self-paced course + Official exam + Digital badge