AI Awareness & Practical Applications in Government

Course Code: PSD-304

Pillar: Digital Government & Innovation

Course Overview: Artificial intelligence can support administrative work, analysis, communication, knowledge management, automation, and citizen services, but its use in government carries important responsibilities. Public value depends on selecting appropriate applications and maintaining human accountability.

Learners explore practical uses alongside data quality, bias, privacy, security, transparency, ethics, governance, and oversight so they can contribute to safe, fair, and responsible AI adoption without needing coding expertise.

Learning Outcomes:

• Explain the basic meaning of artificial intelligence in a government context.
• Understand common types and uses of AI in public sector work.
• Identify practical AI opportunities in administration, service delivery, communication, analysis, and workflow support.
• Recognize the benefits and limitations of AI tools.
• Apply responsible AI principles related to fairness, privacy, transparency, security, and accountability.
• Understand the importance of human oversight when using AI in public service.
• Identify risks related to data quality, bias, misinformation, overreliance, and inappropriate use.
• Develop a practical AI awareness and responsible application plan for a government role, process, or service.

Target Audience: Non-technical public servants, supervisors, citizen-service teams, policy and programme staff, digital-transformation, data, reporting, communication, innovation, and operational teams exploring responsible AI use.

Course-specific Learning Experience: Learners engage through focused video overviews, audio deep dives, study guides, practical examples, reflection prompts, workbook activities, applied tasks, discussion activities, knowledge checks, and end-of-module quizzes. Activities support AI-use-case assessment, prompt and workflow exploration, risk analysis, human-oversight planning, and responsible adoption decisions.

Course Structure: 5 modules / 20 lessons.

Special Feature: Every module concludes with a Putting It All Together audio deep dive that connects the key lessons and supports reflection and practical application.

Pathway Focus: Understand AI. Assess risks. Apply it responsibly.