- Assel Mussagaliyeva-Tang
Introductory
Event Organizer(s)
Description
This masterclass allows participants to examine concrete generative AI use cases from Singapore’s public sector and derive lessons for their own country and institution. Aimed at public officials and development partners at beginner to intermediate level, it showcases how GenAI supports officer copilots, citizen facing assistants, content and translation services, and back-office efficiency within a broader digital government strategy.
- Public servants in ministries, regulators, local governments, and public agencies who are curious about GenAI and want to see concrete public sector applications.
- Multilateral, development, and civictech practitioners supporting governments on digital transformation and AI strategies.
- Motivated beginners who want to learn from Singapore’s experience and adapt ideas to their own institutional and country context.
Qualifications or experience needed to participate in this training course:
- No prior hands-on AI or coding experience required.
- Basic understanding of digital government and AI concepts is helpful but not mandatory
Number of available places for the cohort:
- Recommended cohort size: 50–60
Upon completion of this course, participants will be able to:
- Describe, in accessible language, how Singapore is using GenAI across several public sector use cases (e.g. officer co-pilots, citizen facing assistants, content and translation support), and the types of benefits observed.
- Identify the enabling building blocks behind these use cases, including shared digital platforms, responsible AI playbooks, and cross agency collaboration mechanisms.
- Map at least two promising GenAI opportunities in their own agency or ecosystem by analogy with the Singapore cases (for example, from citizen service to internal back-office tasks).
- Recognize how Singapore integrates responsible AI and governance into GenAI projects, and list at least three practices they could adapt (such as clear roles, risk assessments, and transparency measures).
- Draft a simple GenAI “starter roadmap” for their context, outlining first pilots, required partnerships, skills, and safeguards inspired by Singapore’s experience.
Participants then collaborate in a guided minidesign lab, where they draft a GenAI use case canvas for their own context. This groupwork and peer learning element allows them to compare realities across regions and income levels, and to adapt lessons from Singapore realistically. Polls and plenary debrief help participants analyse constraints and enablers in their own ecosystems. A brief self reflection task at the end supports individual action planning, while templates and references shared after the session facilitate ongoing self study and internal follow up discussions.
Session structure (12:00–13:30 UTC )
12:00 - 12:10 - Welcome, context setting (why GenAI now in the public sector), and live poll on GenAI use in participants’ agencies.
12:10 - 12:30 – Expert input: Singapore’s GenAI public sector journey – key platforms, pilots, and people dimensions.
12:30 - 12:45 – Case studies: concrete GenAI use case in public services and internal government operations, with a focus on benefits, constraints, and lessons learned.
12:45 - 13:10 – Mini design lab: participants sketch a GenAI use case canvas for their own agency or ecosystem, identifying value, users, data, and safeguards.
13:10 - 13:30 – Sharing of selected canvases, discussion on transferability, and identification of common challenges across regions. Wrap up: key lessons learned.
Tutors
Registration information
Unless specified otherwise, all ITU Academy training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.
