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AP-1001

AI+ Policy Maker

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Price
Duration

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1 Day

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Prerequisits

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

What you'll will learn

What you’ll learn in this course

The AI+ for 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.

Objectives

Course Objectives

• Gain foundational knowledge of AI concepts, including machine learning, deep learning, and neural networks, and understand types of AI: Narrow, General, and Superintelligent.
• Evaluate AI’s impact on public services like healthcare, law enforcement, and smart cities to improve service delivery and decision-making.
• Understand ethical principles of fairness, transparency, and accountability, addressing biases, privacy issues, and AI’s socio-economic effects on marginalized communities.

• Familiarize with global AI regulations and data protection laws (e.g., GDPR) to ensure compliance and balance innovation with privacy.
• Apply risk assessment techniques and create protocols to manage AI safety and security, ensuring the resilience of AI systems.

Outlines

Course Outline

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 output.
• 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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Further information

If you would like to know more about this course please contact us

Schedule
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Registration

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Registration

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Registration

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