Recently researchers have demonstrated the effectiveness of applying machine learning techniques to facial features to quantify the "criminality" of an individual.
We therefore plan to augment our model with facial analysis and psychometrics to identify potential financial crime at the individual level. As a proof of concept, we have downloaded the pictures of 7000 corporate executives whose LinkedIn profiles suggest they work for financial organizations, and then averaged their faces to produce generalized white collar criminal subjects unique to each high risk zone. Future efforts will allow us to predict white collar criminality through real-time facial analysis.
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# le papier
Posté par Krunch (courriel, site web personnel) . En réponse au lien utilisation du machine learning pour prédire le crime en col blanc. Évalué à 5.
La section « future work » du papier associé a des jolis passages aussi : https://whitecollar.thenewinquiry.com/static/whitepaper.pdf
pertinent adj. Approprié : qui se rapporte exactement à ce dont il est question.