4. Scope and limits of AI in fraud prevention

This section details the fields of intervention in the fight against fraud using artificial intelligence. We detail possible use cases in external and internal fraud, as well as possible sector-specific approaches.

4.1 Applications to external fraud

First of all, most of the frauds that organizations face are external frauds, i.e. attempts or situations with real impact originating from third parties to the organization (suppliers, customers, third parties with no connection to the organization).

This may involve practices such as forgery and the use of forgeries (false invoices, production of false proof of identity for an individual customer, production of false Kbis extracts for a fictitious client company) or various situations such...

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Scope and limits of AI in fraud prevention

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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,...