从想法到影响：政府领导人负责任的人工智能实施指南（英）

From ideas to impact: a government leader's guide to responsible AI implementationTurning AI ambition into real-world value October 20252Turning AI ambition into real-world valueAround the world, governments are increasingly adopting artificial intelligence (AI) — not just to improve efficiency in public services, but to change how they deliver results for citizens. The question is no longer whether AI should be adopted, but how to do so responsibly, effectively and at scale.As governments move from planning to implementation, a key question emerges: How can they understand and prepare for the full complexity of scaling AI —moving beyond successful pilots and proof-of-concept projects to deliver real public value? In our first report,1 based on extensive research conducted with Oxford Economics (see Research methodology on p.3), we showed how AI is already reshaping the way governments deliver public services across six key value drivers: productivity and efficiency, employee experience, citizen and end-user experience, strategic service planning, financial optimization, and risk and resilience.We emphasized the importance of making a strong strategic commitment to data and AI, aligned with the organization's overall vision. And we outlined five essential foundations: data and technology, talent and skills, an adaptive culture, trust and ethical governance, and a collaborative ecosystem (see sidebar Five essential foundations for AI success).But even with these foundations in place, the journey from strategy to impact remains challenging. Many bold visions often stall in pilot projects, hampered by data and infrastructure limitations, privacy and ethical concerns, employee resistance and integration hurdles, skill shortages or unclear return on investment (ROI).Governments that act quickly to remove these barriers can unlock new efficiencies and enhance citizen experiences. Those that hesitate risk falling behind, as delays lead to rising costs, missed opportunities for productivity gains and smarter policymaking, and unmet public expectations. As other nations advance, failing to keep pace can damage trust and widen the gap in digital progress.Five essential foundations for AI success.Data and technologyThe foundational platforms (including cloud), modern architecture, systems and high-quality, accessible data assets and products that enable advanced capabilities.Talent and skillsComprehensive digital literacy coupled with dedicated data science and AI skillsets distributed strategically throughout the organization.Adaptive cultureAn innovation mindset that embraces experimentation, continuous learning and the ability to evolve rapidly as technologies advance.Trust and ethical governanceBuilding confidence through transparent data practices, robust privacy safeguards and ethical frameworks so that AI systems serve the public good.Collaborative ecosystemStrong partnerships across government, industry and civil society that support interoperabilit