Format: Live instructor-led online training via Zoom / Microsoft Teams

Artificial Intelligence for Public Policy and Governance Training Course

Artificial Intelligence (AI) is transforming governments, public institutions, and policy-making processes worldwide by enabling data-driven decision-making, predictive analytics, intelligent service delivery, and evidence-based governance. The Artificial Intelligence for Public Policy and Governance Training Course is designed to equip policymakers, government officials, public sector leaders, development practitioners, and governance professionals with the knowledge and skills required to understand, develop, regulate, and implement AI solutions within public institutions. As governments increasingly adopt AI technologies to improve efficiency, transparency, accountability, and citizen engagement, there is a growing need for professionals capable of managing AI-driven transformation responsibly and effectively.

This comprehensive course explores the foundations of artificial intelligence, machine learning, data governance, AI policy frameworks, digital governance, algorithmic accountability, public sector innovation, and ethical AI implementation. Participants will gain practical knowledge on how AI can enhance public service delivery, improve regulatory compliance, strengthen national development planning, support economic growth, and optimize resource allocation. The training also examines global best practices in AI governance, public sector digital transformation, and policy innovation to ensure sustainable and inclusive adoption of emerging technologies.

Artificial intelligence presents significant opportunities and challenges for governments. While AI can improve decision-making accuracy, automate routine processes, strengthen fraud detection, enhance public safety, and support smart government systems, it also raises concerns regarding privacy, ethics, bias, cybersecurity, transparency, and accountability. This course provides participants with practical tools for developing AI governance frameworks, managing risks associated with AI deployment, ensuring compliance with regulatory standards, and fostering public trust in AI-enabled government systems.

Through practical workshops, policy simulations, real-world case studies, AI strategy development exercises, and collaborative learning activities, participants will acquire the competencies required to lead AI initiatives, formulate AI policies, evaluate AI systems, and govern emerging technologies effectively. Upon completion, participants will be better positioned to drive digital transformation, strengthen institutional governance, improve public sector performance, and promote responsible and ethical use of artificial intelligence in governance and public policy.

Course Objectives

1.     Understand the fundamentals of artificial intelligence and machine learning.

2.     Explore AI applications in public policy and governance.

3.     Develop AI governance and regulatory frameworks.

4.     Strengthen evidence-based policymaking using AI technologies.

5.     Enhance data governance and digital transformation capabilities.

6.     Address ethical, legal, and social implications of AI.

7.     Improve public service delivery through AI-driven solutions.

8.     Strengthen cybersecurity and risk management for AI systems.

9.     Promote responsible and transparent AI adoption.

10.  Monitor and evaluate AI initiatives in public institutions.

Organization Benefits

1.     Enhanced policy formulation through data-driven insights.

2.     Improved efficiency in public service delivery.

3.     Strengthened digital transformation initiatives.

4.     Better governance through intelligent decision-support systems.

5.     Improved fraud detection and risk management capabilities.

6.     Increased operational efficiency through automation.

7.     Enhanced citizen engagement and service accessibility.

8.     Improved regulatory compliance and accountability.

9.     Strengthened innovation and technological competitiveness.

10.  Increased institutional readiness for future technologies.

Target Participants

·       Government Officials

·       Policymakers

·       Public Sector Executives

·       Regulatory Authorities

·       ICT Directors and Managers

·       Digital Transformation Officers

·       Governance Specialists

·       Development Practitioners

·       Data Analysts and Scientists

·       Monitoring and Evaluation Professionals

·       Public Administration Professionals

·       Strategic Planning Officers

·       Researchers and Academics

·       Innovation Managers

·       Smart Government Professionals

Course Outline

Module 1: Introduction to Artificial Intelligence and Governance

·       Fundamentals of artificial intelligence

·       Evolution of AI technologies

·       Types of AI systems

·       AI applications in government

·       AI and public sector transformation

·       Case Study: AI adoption in public administration

Module 2: AI for Public Policy Development

·       Evidence-based policymaking

·       Policy analytics using AI

·       Predictive policy modeling

·       AI-supported decision-making

·       Policy impact forecasting

·       Case Study: AI-driven policy formulation

Module 3: Data Governance and AI Readiness

·       Data governance frameworks

·       Data quality management

·       Data privacy and protection

·       Open government data

·       AI data infrastructure requirements

·       Case Study: Building AI-ready institutions

Module 4: Machine Learning for Public Sector Applications

·       Introduction to machine learning

·       Supervised and unsupervised learning

·       Public sector use cases

·       Predictive analytics techniques

·       Model evaluation and performance

·       Case Study: Predictive service delivery optimization

Module 5: AI Ethics and Responsible Governance

·       Ethical principles of AI

·       Algorithmic fairness and bias

·       Transparency and explainability

·       Accountability mechanisms

·       Human-centered AI governance

·       Case Study: Ethical AI implementation framework

Module 6: AI Regulation and Policy Frameworks

·       AI governance models

·       National AI strategies

·       Regulatory frameworks for AI

·       International AI governance standards

·       Legal implications of AI systems

·       Case Study: National AI policy development

Module 7: AI for Public Service Delivery

·       Intelligent public service systems

·       Chatbots and virtual assistants

·       Citizen engagement technologies

·       Process automation applications

·       Service quality improvement

·       Case Study: AI-enhanced citizen services

Module 8: Cybersecurity and Risk Management in AI

·       AI cybersecurity risks

·       Secure AI system development

·       Risk assessment methodologies

·       AI threat detection systems

·       Incident response planning

·       Case Study: Managing AI security risks

Module 9: AI for Smart Government and Digital Transformation

·       Smart government frameworks

·       AI-enabled governance systems

·       Intelligent infrastructure management

·       Digital government platforms

·       Innovation ecosystems

·       Case Study: Smart government transformation initiative

Module 10: Monitoring, Evaluation, and Performance Measurement of AI Systems

·       AI performance indicators

·       Monitoring AI effectiveness

·       Impact evaluation methodologies

·       Governance assessment frameworks

·       Continuous improvement mechanisms

·       Case Study: Evaluating AI project outcomes

Module 11: Emerging Technologies and Future Governance

·       Generative AI applications

·       Natural language processing

·       Computer vision technologies

·       Internet of Things and AI integration

·       Future governance trends

·       Case Study: Emerging technology governance strategy

Module 12: Developing an AI Strategy for Public Institutions

·       AI readiness assessment

·       Strategic planning for AI adoption

·       Institutional capacity building

·       Resource mobilization strategies

·       AI implementation roadmaps

·       Case Study: Designing an institutional AI strategy

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.