AI has been successful in a number of ‘classic’ anti-corruption areas – procurement integrity, compliance, fraud detection and anti-money laundering. But AI has not gained public trust (it is difficult to explain exactly how AI works) and it has not been able to overcome challenges such as resource constraints, data quality, organisational resistance and digital divide issues. AI can also add inherited biases, and it has been responsible for erroneous outputs. However, there are some pr...| U4 Anti-Corruption Resource Centre