Public Sector AI Procurement and Regulation Training Course

Course Overview

Public Sector AI Procurement and Regulation has become a strategic priority for governments, public procurement authorities, regulatory agencies, ministries, state corporations, local governments, development partners, and public institutions seeking to harness Artificial Intelligence (AI) while ensuring transparency, accountability, legal compliance, ethical governance, and value for public investment. The rapid advancement of Public Sector AI Procurement and Regulation, Artificial Intelligence Governance, AI Procurement, Responsible AI, AI Regulation, Public Procurement, Digital Government, AI Risk Management, Machine Learning, Generative AI, AI Ethics, Explainable AI (XAI), Algorithmic Accountability, Data Governance, Privacy Protection, Cybersecurity, Cloud Computing, AI Lifecycle Management, Digital Transformation, Smart Government, Regulatory Compliance, AI Auditing, Procurement Governance, Vendor Risk Management, AI Contract Management, Digital Public Services, AI Standards, Public Sector Innovation, and Sustainable Development Goals (SDGs) is transforming how governments acquire, deploy, regulate, monitor, and govern intelligent technologies. This comprehensive training course equips participants with practical knowledge and advanced competencies to procure, regulate, manage, and oversee AI solutions responsibly while safeguarding public interest, protecting citizens' rights, and promoting innovation.

The course provides participants with a comprehensive understanding of AI procurement frameworks, procurement planning, regulatory compliance, AI governance, legal and ethical considerations, procurement lifecycle management, vendor evaluation, contract management, AI risk assessment, cybersecurity governance, procurement transparency, digital public procurement systems, AI performance monitoring, institutional capacity building, policy development, and strategic decision-making. Participants will learn how to design AI procurement strategies, evaluate AI vendors, develop procurement specifications, regulate AI applications, establish governance structures, assess algorithmic risks, ensure ethical AI adoption, strengthen procurement accountability, and align AI implementation with national digital transformation strategies. The programme incorporates internationally recognized principles and frameworks from the Organisation for Economic Co-operation and Development (OECD) AI Principles, UNESCO Recommendation on the Ethics of Artificial Intelligence, International Organization for Standardization (ISO/IEC 42001 and ISO/IEC 23894), National Institute of Standards and Technology (NIST) AI Risk Management Framework, World Bank, United Nations Development Programme (UNDP), International Telecommunication Union (ITU), and the Sustainable Development Goals (SDGs).

Special emphasis is placed on emerging technologies and innovative procurement practices including generative AI, machine learning, explainable AI, cloud-based AI services, AI-enabled procurement platforms, blockchain for procurement transparency, robotic process automation (RPA), predictive analytics, digital identity management, cybersecurity for AI systems, procurement analytics, AI auditing tools, vendor due diligence platforms, automated contract management, procurement dashboards, digital twins, intelligent decision support systems, privacy-enhancing technologies, and responsible AI assurance frameworks. Participants will also examine governance challenges relating to algorithmic bias, procurement fraud, intellectual property, vendor lock-in, cross-border data governance, ethical AI deployment, transparency, accountability, public trust, regulatory harmonization, procurement disputes, and sustainable digital innovation.

Through practical procurement simulations, AI governance workshops, procurement planning exercises, vendor evaluation laboratories, policy development sessions, collaborative group work, web-based tutorials, and relevant international case studies, participants will develop competencies required to procure and regulate AI technologies effectively in the public sector. Upon successful completion, participants will be equipped to strengthen AI procurement governance, improve regulatory oversight, ensure ethical and transparent AI adoption, enhance procurement efficiency, reduce procurement and operational risks, strengthen public accountability, improve service delivery, and build resilient public institutions capable of governing AI responsibly.

Course Objectives

1.     Understand the principles and frameworks of public sector AI procurement and regulation.

2.     Develop AI procurement strategies aligned with public procurement laws and digital transformation objectives.

3.     Strengthen governance systems for ethical, transparent, and accountable AI procurement.

4.     Apply international AI governance frameworks, standards, and regulatory best practices.

5.     Improve AI vendor evaluation, procurement planning, and contract management.

6.     Strengthen AI risk management, cybersecurity, privacy protection, and data governance.

7.     Enhance regulatory compliance, algorithmic accountability, and responsible AI implementation.

8.     Promote evidence-based procurement decisions using AI performance monitoring and analytics.

9.     Strengthen monitoring, evaluation, auditing, and continuous improvement of AI procurement programmes.

10.  Build resilient, secure, innovative, and citizen-centred AI governance systems across the public sector.

Organizational Benefits

1.     Improved governance and transparency in AI procurement processes.

2.     Enhanced compliance with international AI governance and procurement standards.

3.     Strengthened institutional capacity for evaluating and managing AI technologies.

4.     Reduced procurement, legal, cybersecurity, and operational risks.

5.     Improved value for money through effective AI procurement planning.

6.     Enhanced public trust through ethical and accountable AI deployment.

7.     Strengthened vendor management and contract performance.

8.     Improved procurement efficiency through digital technologies and automation.

9.     Enhanced monitoring, auditing, and performance management of AI investments.

10.  Sustainable digital transformation supported by responsible AI governance.

Target Participants

This course is designed for procurement officers, supply chain professionals, policymakers, ICT directors, chief information officers, chief digital officers, AI programme managers, regulators, legal advisors, public procurement authorities, contract managers, compliance officers, auditors, cybersecurity professionals, digital transformation managers, risk managers, project managers, data governance specialists, AI developers working with government institutions, monitoring and evaluation specialists, consultants, researchers, academics, development partners, and professionals responsible for public procurement, AI governance, regulatory compliance, and digital government transformation.

Course Outline

Module 1: Introduction to Public Sector AI Procurement and Regulation

·       Fundamentals of artificial intelligence

·       Public sector AI governance

·       AI procurement principles

·       Regulatory landscape

·       Responsible AI concepts

·       International best practices

Case Study: Developing a national framework for public sector AI procurement and governance.

Module 2: AI Governance Frameworks and Regulatory Policies

·       AI governance models

·       National AI strategies

·       Regulatory institutions

·       AI policy development

·       Governance accountability

·       Stakeholder engagement

Case Study: Establishing institutional governance for AI adoption in government agencies.

Module 3: AI Procurement Planning and Strategy

·       Procurement planning

·       Business case development

·       Needs assessment

·       Procurement methods

·       Market analysis

·       Procurement documentation

Case Study: Designing an AI procurement strategy for a national digital government programme.

Module 4: Vendor Evaluation and AI Solution Selection

·       Vendor due diligence

·       Technical evaluation

·       Financial assessment

·       AI capability evaluation

·       Procurement scoring models

·       Supplier performance

Case Study: Evaluating competing AI vendors for a government service delivery platform.

Module 5: AI Risk Management, Ethics and Algorithmic Accountability

·       AI risk assessment

·       Ethical AI principles

·       Algorithmic bias mitigation

·       Explainable AI

·       Human oversight

·       Responsible AI assurance

Case Study: Managing ethical risks in AI-assisted public service decision-making.

Module 6: Data Governance, Privacy and Cybersecurity

·       Data governance frameworks

·       Privacy regulations

·       Data quality management

·       AI cybersecurity

·       Identity management

·       Secure data sharing

Case Study: Protecting citizen data in AI-enabled government systems.

Module 7: AI Contracts, Licensing and Intellectual Property

·       AI contract management

·       Licensing agreements

·       Service level agreements

·       Intellectual property rights

·       Procurement negotiations

·       Contract performance management

Case Study: Negotiating procurement contracts for enterprise AI solutions.

Module 8: Digital Procurement Platforms and Emerging Technologies

·       Electronic procurement systems

·       Blockchain applications

·       Robotic process automation

·       Cloud AI services

·       Procurement analytics

·       Smart procurement technologies

Case Study: Implementing digital procurement platforms to improve procurement transparency.

Module 9: Regulatory Compliance, Auditing and Oversight

·       Regulatory compliance

·       AI audits

·       Procurement compliance reviews

·       Performance audits

·       Regulatory reporting

·       Institutional oversight

Case Study: Conducting compliance audits for AI procurement projects.

Module 10: Monitoring, Evaluation and AI Performance Management

·       AI performance indicators

·       Results-based management

·       Monitoring frameworks

·       Evaluation methodologies

·       Performance dashboards

·       Continuous improvement

Case Study: Evaluating the effectiveness of AI-enabled government service delivery.

Module 11: Public Trust, Transparency and Change Management

·       Citizen engagement

·       Transparency mechanisms

·       Organizational change management

·       Communication strategies

·       Capacity building

·       Public accountability

Case Study: Managing organizational transformation during government-wide AI implementation.

Module 12: Emerging Trends in Public Sector AI Procurement and Regulation

·       Generative AI governance

·       Autonomous AI systems

·       International AI regulation

·       AI procurement innovation

·       Future public sector AI strategies

·       Strategic governance roadmaps

Case Study: Developing a long-term roadmap for responsible AI procurement and regulation across government institutions.

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, flight 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.