Which of the following is a benefit of an institution implementing machine learning to identify suspicious transactions?

The correct answer is A. Adaptable to new AFC typologies through continuous model training. A key benefit of machine learning in identifying suspicious transactions is its adaptability to new anti- financial crime typologies through continuous model training, enabling the system to evolve with emerging threats and patterns.

New Developments in AML/CFT

Question

Options

AAdaptable to new AFC typologies through continuous model training
BCompletely unbiased and without error through continuous model training
CMore consistent and reliable detection outcomes
DTransparent and easy to explain algorithms for regulator and compliance purposes

How the community answered

(49 responses)

A
80% (39)
B
4% (2)
C
10% (5)
D
6% (3)

Explanation

A key benefit of machine learning in identifying suspicious transactions is its adaptability to new anti- financial crime typologies through continuous model training, enabling the system to evolve with emerging threats and patterns.

Topics

#machine learning#transaction monitoring#AI/ML in AML#model training

Community Discussion

No community discussion yet for this question.

Full CAMS Practice