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Introduction to Artificial Intelligence (AI) for Gov. Leaders

Course Overview

Artificial Intelligence (AI) is rapidly transforming the global public sector, unlocking opportunities for smarter, faster, and more inclusive governance. Yet for government leaders, adopting AI responsibly and strategically requires more than technical understanding—it demands visionary leadership, ethical oversight, and alignment with national development agendas.

This program is designed specifically for senior decision-makers in government who need to understand AI’s capabilities, limitations, and implications from a policy, governance, and public value perspective. The course provides a non-technical, high-level introduction to AI, covering foundational concepts, global use cases, ethical considerations, and leadership strategies for AI readiness and adoption.

Through interactive discussions, real-world case studies, and a capstone simulation, participants will gain the knowledge and confidence to lead AI-driven initiatives, collaborate with technical teams, and integrate AI into government strategies in a responsible and citizen-centric manner.

Who Should Attend

  • Directors General, Undersecretaries, and senior government executives
  • Strategic advisors and heads of digital transformation
  • Leaders in public policy, smart government, and excellence programs
  • Members of AI task forces, steering committees, and innovation units
  • Government officials overseeing ethics, compliance, or digital regulation

Course Objectives

At the end of this training course, participants will be able to:

  • Gain a strategic, non-technical understanding of artificial intelligence and its role in modern governance
  • Recognize global trends and benchmark government use of AI in key public sectors
  • Evaluate the risks, ethical implications, and legal challenges of AI adoption in the public sphere
  • Align AI opportunities with national visions, institutional strategies, and public value goals
  • Promote responsible and inclusive AI that enhances service delivery, citizen trust, and operational transparency
  • Assess the AI readiness of their institution, including gaps in talent, data infrastructure, and leadership alignment
  • Lead or support national AI policy initiatives and institutional AI governance frameworks

Course Content

Demystifying Artificial Intelligence for Government Leaders

  • Define artificial intelligence and distinguish it from automation and analytics
  • Explore types of AI: reactive systems, limited memory, generative AI, and adaptive AI
  • Break down key technologies: natural language processing, machine learning, robotics, and computer vision
  • Explain the logic behind training data, supervised vs. unsupervised learning, and model adaptation
  • Clarify AI capabilities versus limitations, especially in decision-support roles
  • Translate complex AI concepts into strategic leadership insights
  • Highlight common misconceptions and myths about AI in government
  • Introduce examples of AI implementation across ministries and public sectors globally

Global Trends, Innovations, and Government Case Studies

  • Analyze leading global AI strategies: UAE, Singapore, UK, Estonia, and Saudi Arabia
  • Explore applications of AI in healthcare, transportation, justice, education, and city management
  • Examine successful and failed public sector AI projects and identify what went right or wrong
  • Highlight risks around AI misuse, such as data exploitation, surveillance, and bias
  • Study the roles of international bodies: OECD, UNESCO, EU, and regional alliances
  • Review how governments are balancing innovation with regulation
  • Discuss regional and sector-specific AI strategies and investments
  • Facilitate group reflection on transferable lessons for participants’ entities

AI for Public Value Creation and Citizen-Centric Services

  • Define the concept of public value in the context of AI transformation
  • Explore how AI can personalize citizen experiences through smart interfaces
  • Use examples of AI improving service equity, speed, and language accessibility
  • Connect AI to predictive planning in areas such as social protection and emergency management
  • Discuss how intelligent automation reduces backlogs and administrative delays
  • Evaluate the impact of AI on transparency and accountability in service delivery
  • Introduce the concept of anticipatory governance through AI and data analytics
  • Identify and prioritize key public services that can benefit from responsible AI

Responsible AI, Ethics, and Public Sector Governance

  • Define ethical principles: fairness, transparency, explainability, and accountability
  • Identify risks related to bias, discrimination, and lack of algorithmic oversight
  • Examine global regulatory responses: EU AI Act, UAE Ethical AI Toolkit, UNESCO AI Ethics
  • Understand the role of human oversight and hybrid human-AI decision frameworks
  • Discuss the consequences of AI misuse on public trust and institutional legitimacy
  • Introduce frameworks for risk assessment and ethical impact evaluations
  • Explore the creation of internal AI governance bodies and ethics committees
  • Engage in ethical scenario analysis relevant to participants’ policy environments

Institutional Readiness and Strategic Simulation

  • Conduct institutional readiness assessments focusing on data, talent, and leadership
  • Identify organizational barriers to AI adoption: culture, silos, legacy systems
  • Design an AI implementation roadmap: vision, milestones, change management
  • Structure internal communication plans around AI awareness and confidence
  • Introduce maturity models and benchmarking tools for AI capability development
  • Lead an executive simulation to assess and present an AI opportunity in government
  • Develop a personalized action plan to guide post-course implementation

Table of Contents

Course Code DU0404 Category

Language: English or Arabic

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