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Round 2 of our #corruptionspotlight in which we highlight a paper on (anti-)corruption.
This time:
"Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system"
by Grace, Rai, Redmiles & Ghani in @IEEEorg
This time:
"Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system"
by Grace, Rai, Redmiles & Ghani in @IEEEorg
1/ Research has shown that #AI can be used to detect fraud (e.g creditcard misuse),
less is known about its potential to identify #corruption and #collusion
--> the author tackle this issue by developing a new algorithm.
Here is how they did in a nutshell 👇
less is known about its potential to identify #corruption and #collusion
--> the author tackle this issue by developing a new algorithm.
Here is how they did in a nutshell 👇
2/ They use
a) openly available data on ~ 200,000 @WorldBank contracts (finances.worldbank.org/widgets/kdui-w…) and
b) data on over 4000 allegations within the World Bank.
What is the most often reason for allegations you might wonder? 🤔
A: Corruption in form of bribery (see 🔥map)
a) openly available data on ~ 200,000 @WorldBank contracts (finances.worldbank.org/widgets/kdui-w…) and
b) data on over 4000 allegations within the World Bank.
What is the most often reason for allegations you might wonder? 🤔
A: Corruption in form of bribery (see 🔥map)
