This think-piece explores the development implications of using algorithmic scoring models as tools of financial inclusion. It aims to engage with the use of such models not as a technological transformation underpinned by Big Data and machine learning, but as a fundamental political shift reflected in the willingness to dispense the task of shaping the normative framework of creditworthiness to a process of algorithmic datafication. In doing so, it raises important questions about who really benefits from the use of such infrastructures and highlights alternate imaginaries that may be required in order for them to meet the development goals of financial inclusion and economic empowerment.
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This output is a part of the Intelligent Infrastructures - For a People-Centered Digital Society project.