There are relatively few examples of how artificial intelligence has been deployed in anti-corruption work. Such tools are normally deployed by financial institutions or tax-authorities to uncover money-laundering, fraud, or tax evasion. This study points to two different strategies for using artificial intelligence to aid anti-corruption efforts. It can be applied to uncover corruption that was previously difficult to detect. Secondly, it is possible to design novel artificial intelligence-assisted processes with the aim to avoid previously corruption-prone procedures.
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