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Discover lessons from AI projects in different government contexts Understand what drove successes and challenges Identify ideas to apply to your team, service or policy area Across governments, ...

Navigating the rapidly evolving landscape of AI can feel daunting. But as public servants, understanding the societal and economic implications of this technology — and adapting to them — has never ...

#Pressure, in my personal view, is neither purely a burden nor purely an opportunity — it is a signal. It is often a reflection of expectation, responsibility, and potential. In many cases, pressure ...

Even the most effective leaders sometimes cannot see the dynamics working against them. Many of those dynamics are cultural, shaping how people interpret behavior, communicate disagreement, and decide ...

It’s no secret that data is a hot topic in the public service. Reports are being written about it, government-wide training is being rolled out in some countries and it’s generally being regarded as ...

As a neurodiverse person myself, I know first-hand how valuable reasonable adjustments can be. Having the right support in place can make a huge difference to both confidence and performance. It ...

Does it feel like we have lost the momentum on climate leadership and action? At a time when extreme weather is increasing and global records are being eclipsed yet again, how could this be so? The ...

Governments are putting artificial intelligence (AI) into public services, in citizen-facing platforms, administrative processing and decision support. As they do, recognised concerns follow about ...

Generative AI tools are transforming government work. But getting the best results depends on how you instruct them. This course introduces public servants to prompt engineering: the skill of guiding ...

Artificial Intelligence is transforming public administration. But can it also transform the way we prepare public servants? Albania's experience suggests that while AI offers powerful new ...

Hospital administrators are increasingly asked to approve the deployment of artificial intelligence tools, including large language models (LLMs), in high-risk clinical workflows where errors can ...