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| Articolul urmator |
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 578 45 |
| Ultima descărcare din IBN: 2024-04-12 20:06 |
| Căutarea după subiecte similare conform CZU |
| 657.6:[343.359:004.8] (1) |
| Accountancy (953) |
| Offences against the state (1076) |
| Artificial intelligence (312) |
 SM ISO690:2012LAPIŢKAIA, Ludmila, LEAHOVCENCO, Alexandru. The use of artificial intelligence in auditing money laundering operations. In: Conferința internațională științifică de contabilitate: ISCA 2020, 2-3 aprilie 2020, Chişinău. Chișinău, Republica Moldova: Departamentul Editorial-Poligrafic al ASEM, 2020, Ediția a 9-a, pp. 148-151. ISBN 978-9975-75-989-2. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Conferința internațională științifică de contabilitate Ediția a 9-a, 2020 |
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Conferința "Conferința internațională științifică de contabilitate" Chişinău, Moldova, 2-3 aprilie 2020 | ||||||
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| CZU: 657.6:[343.359:004.8] | ||||||
| JEL: M42 | ||||||
| Pag. 148-151 | ||||||
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| Rezumat | ||||||
In the modern economy, focused on digital technologies, when many transactions are performed in electronic form, there is an urgent need to analyze transactions for money laundering operations. In this regard, when auditing money laundering operations, the auditor should check huge amounts of data for a short period of time, assess risks, and analyze the possibility of a client’s enterprise in the future. In this regard, artificial intelligence applications can provide significant assistance. This article discusses the applications of artificial intelligence in auditing money laundering transactions. |
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| Cuvinte-cheie audit, money laundering operations, Artificial Intelligence |
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