3. Prerequisites for implementing these approaches

This section successively addresses the technical, organizational and human fundamentals that are prerequisites for implementing an artificial intelligence-based fraud solution.

3.1 Technical prerequisites: the question of data and system quality

The first technical prerequisite is to have both a data governance process and an adequate data quality system. For each piece of data used by AI, this means meeting the criteria listed in the table 4 .

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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,...