Accountability is a key principle of good governance and democracy. It means that public officials and institutions are responsible for their actions and decisions, and that they can be held to account by the people they serve.

Accountability also implies transparency, participation, feedback, and learning. It ensures that our leaders are held to account for their actions and that our public institutions are transparent and responsive.
But how can we ensure accountability in a complex and dynamic world, where public problems often require multisectoral and multidisciplinary solutions? How can we monitor and evaluate the impact of policies and programs that affect millions of lives? How can we foster a culture of accountability that empowers citizens and civil society to demand better services and outcomes?

In recent years, artificial intelligence (AI) has emerged as a powerful new tool for accountability. AI-powered tools can be used to analyse large volumes of data, identify patterns and trends, and detect anomalies. This makes them ideal for tasks such as monitoring government spending, tracking the performance of public programs, and investigating corruption.
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One of the most promising applications of AI for accountability is in the analysis of open data public documents. Open data is data that is made freely available to the public, often by governments and other public institutions. AI can be used to break down and analyse open data public documents to extract insights that would be difficult or impossible to obtain manually.
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It can also be used to track the performance of public programs and identify areas where they are not meeting their goals.
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AAccountability is building new tools to help facilitate exactly these processes and to help people deliver the best accountability possible.