AI+ Policy Maker Practitioner™

• Public Administrators: Enhance your skills in using AI tools to streamline policy implementation, optimize public sector operations, and drive impactful results.
• Business Analysts: Equip yourself with the skills to leverage AI for policy analysis, predict outcomes, and inform strategic decisions across sectors.
• Students & New Graduates: Gain a competitive advantage by mastering AI tools for policy development and digital governance in a rapidly evolving landscape.
• Industry Professionals: Strengthen your expertise in AI-driven policy-making and position yourself to lead innovative projects within your industry.
• Government Officials & Policy Makers: Gain the skills to incorporate AI into policy development, improve data-driven decision-making, and optimize governance.

• Navigating AI-Enabled Global Collaboration:

  Gain the skills to shape global AI policies, driving innovation and ensuring secure, ethical cross-border data flows.

• AI in Sustainability and Climate Action:

  Learn to integrate AI into sustainability policies, positioning yourself as a leader in smart environmental management.

• AI-Powered Economic Strategies:

  Develop AI-driven economic policies to boost growth and innovation, enhancing your career as a leader in global competitiveness.

• Cybersecurity and AI Risk Management:

  Master AI security and risk management to ensure system resilience, building trust in AI initiatives.

• Ethical AI for Future Societies:

  Lead the creation of ethical AI guidelines, ensuring responsible development and prioritizing societal well-being in your policies.

Inhoud

• 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

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

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

• Basics of AI and ML, Understanding of data privacy principles, Awareness of policy-making processes, Ability to interpret data-driven insights.