Using AI involves statistical methods to identify patterns and propose hypotheses. It aims to solve significant problems through rigid or incremental innovation.
Developing countries face fragmented environments with principal-agent conflicts due to improving democracies. Decision makers lack accountability and coordination, leading to increased corruption.
In developing nations, the public sector is the largest employer, lacking a sense of purpose to mitigate conflicts of interest, resulting in higher corruption levels.
Building data pipelines through diverse professional collaboration is hindered by bureaucratic structures in states, complicating good hires for projects and data utilization.
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