Industry Specialisations · Self-paced
AI+ Policy Maker™
Shape AI Policy and National Strategy with Confidence and Insight.
Executive summary
The AI+ Policy Maker course offers an in-depth exploration of artificial intelligence’s impact on public governance and policy-making. It equips policymakers with essential knowledge of AI technologies, ethical standards, and their potential applications in the public sector. The course covers key topics such as AI governance, regulatory frameworks, AI’s socio-economic implications, and strategies for responsible adoption. Through case studies, practical insights, and discussions on global AI regulations, participants will gain the skills to make informed decisions, develop AI policies, and navigate the challenges and opportunities AI presents in shaping the future of public administration.
Built for these roles
Before you start
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.
One-time price
$110
8 hours, self-paced. Lifetime access, certificate included.
Certification exam included (limited attempts).
Secure checkout via Stripe. Instant access after payment.
Curriculum
What you'll cover.
8 hours of self-paced content. Work through it in order, on your schedule.
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 Productivity Enhancement: AI's impact on efficiency and
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
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