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Don’t build it
Is a digital solution appropriate for the problem you’re trying to solve?
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Don’t build it
Is a digital solution appropriate for the problem you’re trying to solve?
Learn More
Document Title
PDF (800kb)
Download
Don’t build it
Is a digital solution appropriate for the problem you’re trying to solve?
Learn More
Don’t build it
Is a digital solution appropriate for the problem you’re trying to solve?
Learn More
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UN Secretary-General calls for radical transformation of global financial system
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Breaking the cycle of debt crisis: How a new Stimulus
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Data in Action: Making Public Spaces Safer for Women​
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Debt savings of up to US$148 billion could be unlocked by the UN SDG
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Safeguarding data governance, privacy and ethics

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Strengthening Data Capacities

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Strengthening a culture of using data in policy making

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Building institutional mechnisms for continued use of dara in policymaking processes

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Data in Action: Making Public Spaces Safer for Women​
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Data in Action: Making Public Spaces Safer for Women​
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Amplifying women’s voices for economic participation by addressing access to childcare In Mexico, women disproportionately shoulder unpaid care work, which limits their economic participation. To address this, the Government of Mexico City, the German development agency GIZ and other partners developed an intelligent, AI-driven care workmap. NLP was used to process data from crowdsourced insights and from administrative records. The resulting AI-informed platform now helps policymakers promote gender equality and economic opportunities for women and identify locations for childcare centres.

Narrow AI:

Designed to perform specific tasks, such as analysing images, translating text, or forecasting trends, narrow AI (sometimes also called ‘weak AI’) is limited but performs these functions exceptionally well. In government contexts, most current AI applications fall into this category and require careful testing and evaluation before being fully implemented.

Narrow AI

Generative AI:

Capable of creating new content—such as text, images or audio—generative AI has unique applications in areas like language translation, data synthesis and public engagement. Although highly promising, generative systems raise challenges in terms of content accuracy and ethics.

Generative AI

Artificial General Intelligence (AGI):

Although AGI does not yet exist yet, it is sometimes referred to as the ‘holy grail’ of AI. In theory, AGI would have human-like cognitive abilities and be capable of operating across diverse domains. Although AGI remains a distant aspiration with significant risks and challenges, it represents a long-term research direction.

Artificial General Intelligence (AGI)