Ethical Ai In Public Administration Training Course: Building Responsible, Transparent, And Accountable Ai-driven Governance

Introduction

Artificial Intelligence is transforming public administration across the globe, optimizing service delivery, automating processes, and informing decision-making. However, with this transformation comes a critical responsibility to ensure ethical use, avoid unintended bias, protect rights, and promote transparency. The Ethical AI in Public Administration Training Course equips public sector leaders, policymakers, and IT professionals with the tools and frameworks needed to apply AI ethically in governance.

Participants will explore real-world case studies and global principles of responsible AI, assess risks in algorithmic systems, and design accountability measures to ensure that AI technologies serve the public interest. This course offers deep insights into policy development, legal considerations, and public trust strategies essential for implementing AI in alignment with democratic values.

Target Audience

• Public service and government IT managers
• Data scientists and AI project leads in public institutions
• Policymakers and regulatory officials
• Legal and compliance professionals in government
• Digital transformation and e-government advisors
• Civic technology and innovation specialists
• International development professionals focused on digital governance

Course Objectives

• Understand the ethical implications of AI use in public administration
• Explore global frameworks and principles of responsible AI governance
• Identify risks of bias, discrimination, and privacy violations in public AI systems
• Apply human-centered design in developing ethical AI solutions
• Strengthen legal and regulatory compliance in AI applications
• Foster institutional accountability and algorithmic transparency
• Build cross-sector collaboration for inclusive AI implementation
• Promote digital rights, equity, and citizen trust in AI governance
• Design policies and safeguards to guide ethical AI adoption

Duration

5 Days

Course Outline

Module 1: Foundations of AI in Public Administration

• Overview of AI technologies in government
• Public sector use cases and automation trends
• Opportunities and challenges of AI-driven governance
• The role of human oversight and discretion
• Understanding socio-technical implications

Module 2: Principles and Frameworks for Ethical AI

• Global declarations and ethical AI guidelines
• Fairness, accountability, transparency, and explainability
• Democratic values and public interest in AI policy
• Localizing ethics frameworks to national contexts
• Ethics-by-design and risk-based approaches

Module 3: Addressing Bias, Discrimination, and Inequity

• Common sources of algorithmic bias
• Case studies of biased AI outcomes in public systems
• Tools for bias detection and mitigation
• Inclusive data practices for fairer algorithms
• Equity impact assessments

Module 4: Legal and Regulatory Perspectives on AI

• AI and existing administrative, privacy, and data laws
• Emerging legislation on AI oversight
• The role of procurement and vendor accountability
• Liability, redress, and public complaint mechanisms
• Legal audits for AI systems

Module 5: Data Governance and Privacy Protection

• Ethical data collection and consent in public programs
• Data minimization and anonymization techniques
• Cross-border data flows and security considerations
• Building public trust in government data use
• Open data versus protected data ethics

Module 6: Designing Ethical AI in Public Services

• Human-centered service design for AI
• Community engagement in AI development
• Participatory design and transparency tools
• Building ethical criteria into RFPs and contracts
• Piloting and scaling with public feedback loops

Module 7: Institutional Capacity and Public Sector Readiness

• Training staff in AI literacy and ethics
• Creating institutional AI ethics boards and roles
• Inter-agency coordination and knowledge sharing
• Budgeting and resourcing for ethical implementation
• Evaluating AI project readiness

Module 8: Monitoring, Evaluation, and Public Accountability

• KPIs and audit frameworks for ethical AI
• AI impact assessments and continuous monitoring
• Publishing transparency reports and algorithm registers
• Stakeholder engagement and grievance mechanisms
• Scaling ethical practices across government

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.