2. Defining artificial intelligence in the fight against fraud

This section looks at the scope of frauds covered by the use of artificial intelligence, as well as the type of artificial intelligence that can be used in the fight against fraud.

2.1 Simple and network frauds

The risk of fraud, particularly external fraud, has become a priority for risk managers. In certain sectors (banking, insurance, e-commerce, telephony), this risk has become a frequency risk, i.e. a risk with a high probability of occurrence and whose cumulative financial impact is becoming significant.

As the telephony risk manager we met in 2020 put it: "Fraud has become a scourge, it's no longer even a risk, we know that in certain regions, this risk is a certainty. The only question we're still asking ourselves is how to secure...

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Defining artificial intelligence in the fight against fraud

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page Introduction to artificial intelligence and fraud

Prerequisites for implementing these approaches

Bibliography

(1) - BELMA (O.), DUFOUR (N.) - La diversité des stratégies de lutte anti-fraude. - Face au risque, n° 524, p. 30-32 (2016).
(2) - DUFOUR (N.) - Former à la détection et à la prévention des risques de fraude. Le cas des complémentaires...

Regulations

Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data.

Regulation of the European Parliament and of the Council laying down harmonized rules on artificial intelligence (artificial intelligence legislation) and amending certain Union legislative acts,...