Generative AI is creating unprecedented opportunities for governments to rethink how they set strategy, organise work, deliver services and create public value. Its significance extends well beyond automating routine tasks. Used effectively, generative AI can strengthen policy analysis, accelerate administrative processes, support frontline staff, personalise citizen interactions, improve institutional knowledge management and enable leaders to identify emerging risks and opportunities more rapidly.
Realising these benefits, however, requires more than acquiring new technology. Governments must connect AI initiatives to strategic priorities, redesign roles and workflows, establish appropriate governance, develop workforce capabilities and build confidence among employees, citizens and other stakeholders. They must also manage risks, including inaccurate or biased outputs, privacy and security concerns, weak accountability, vendor dependence and the potential exclusion of people who cannot easily access digital services.
AI in Government: Strategies & Implementation is a custom programme designed around the participants’ institutional context, policy responsibilities and operational challenges. Through targeted discussion, practical frameworks and application-development exercises, participants will explore what generative AI can and cannot do, and where it can add the greatest value within their organisation.
Participants will identify and devise relevant AI applications; critically appraise their feasibility, benefits, costs and risks; and consider their implications for strategy, organisational design, service delivery, performance and impact. They will then translate these insights into actionable adoption plans, addressing leadership, governance, data, skills, procurement, experimentation, evaluation and change management. The programme equips public leaders to move from general interest in AI towards responsible implementation, organisational acceptance and measurable public value.