A new book asks if AI can be used for better governance and sharper climate policies
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Designing climate policies is one of the most difficult challenges in governance today. It demands that governments strike a delicate balance between environmental ambition, development, economic growth, political realities and social equity. But even when the right policies exist on paper, their true impact depends on how and where they are implemented. The challenge lies in the fact that climate change touches every sector, and every sector is deeply interconnected. A policy targeting one issue in isolation, say clean energy, can fall short if it does not account for dependencies across transport, housing, industry or land use. To be truly effective, climate policies must take an ecosystem-wide view. And yet, this is far easier said than done.
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Anyone who has worked in government will recognise how difficult such coordination is in practice. Sectoral silos, fragmented data, legacy systems, competing mandates and sometimes even political turf battles can stand in the way of alignment. Budget allocations may differ sharply between departments, and timelines often conflict. In the developing world, this complexity is further amplified by the weight of competing development priorities. Policymakers are not just working on climate. They are managing flood recovery, fixing roads, building water systems, responding to public grievances and...