Anti-money laundering (AML) regulations play a vital role in financial systems and combating organized crime, which has led to the emergence of advances in learning algorithms show great promise for the AML toolkit
The data showed that the volume of illegal transactions:
source https://amlcrypto.io
However, I find that the AML score gives different and varied results from one service to another. Are these results accurate, especially since most of them are generated by artificial intelligence? Can it be relied upon to bring charges or acquit people, especially since they may lead to criminal charges, or is this not possible as they are based on random results or inaccurate.
Some experimental results:
https://arxiv.org/pdf/1908.02591.pdf (It is true that the results of the experiment are from 2019, and artificial intelligence algorithms have evolved, but I did not find a more recent experiment)
The data showed that the volume of illegal transactions:
However, I find that the AML score gives different and varied results from one service to another. Are these results accurate, especially since most of them are generated by artificial intelligence? Can it be relied upon to bring charges or acquit people, especially since they may lead to criminal charges, or is this not possible as they are based on random results or inaccurate.
Some experimental results:
https://arxiv.org/pdf/1908.02591.pdf (It is true that the results of the experiment are from 2019, and artificial intelligence algorithms have evolved, but I did not find a more recent experiment)