  Corruption continues to be one of the biggest societal challenges of our
time. New hope is placed in Artificial Intelligence (AI) to serve as an
unbiased anti-corruption agent. Ever more available (open) government data
paired with unprecedented performance of such algorithms render AI the next
frontier in anti-corruption. Summarizing existing efforts to use AI-based
anti-corruption tools (AI-ACT), we introduce a conceptual framework to advance
research and policy. It outlines why AI presents a unique tool for top-down and
bottom-up anti-corruption approaches. For both approaches, we outline in detail
how AI-ACT present different potentials and pitfalls for (a) input data, (b)
algorithmic design, and (c) institutional implementation. Finally, we venture a
look into the future and flesh out key questions that need to be addressed to
develop AI-ACT while considering citizens' views, hence putting "society in the
loop".
