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How Artificial Intelligence and Robo...

Skoller, Andrew R.

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How Artificial Intelligence and Robotics Process Automation Will Assist BSA/AML Departments Combat Fraud.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	How Artificial Intelligence and Robotics Process Automation Will Assist BSA/AML Departments Combat Fraud./
作者:	Skoller, Andrew R.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	47 p.
附註:	Source: Masters Abstracts International, Volume: 81-11.
Contained By:	Masters Abstracts International81-11.
標題:	Banking. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27837784
ISBN:	9798643197980

How Artificial Intelligence and Robotics Process Automation Will Assist BSA/AML Departments Combat Fraud.
Skoller, Andrew R.

How Artificial Intelligence and Robotics Process Automation Will Assist BSA/AML Departments Combat Fraud. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 47 p.

Source: Masters Abstracts International, Volume: 81-11.

Thesis (M.S.)--Utica College, 2020.

This item must not be sold to any third party vendors.

The purpose of this paper is to research how artificial intelligence and automation can enhance the operational functions of a Bank Secrecy Act/Anti-Money Laundering (BSA/AML) department. BSA/AML departments have a vital function to uphold; to provide the necessary controls to detect money laundering, terrorist financing, and other criminal acts that are a misuse of the United States banking system, per the Bank Secrecy Act of 1970 (OCC, n.d.). The research analyzed the critical areas of the BSA/AML department's primary functionality that can be enhanced by the use of artificial intelligence and automation.This is an important area to research considering financial institution BSA/AML departments inherently are a highly manual labor-intensive environment requiring the collection of data from various sources to be analyzed. Key areas such as transaction monitoring and case & alert generation are areas that require the touch of a human hand to manage the outcome of those functions effectively. Using elements of artificial intelligence can remove the human element allowing that time to be allocated towards the analysis of the data that may uncover fraud. The results of the research concluded that artificial intelligence systems are a useful tool at creating efficiencies to combat fraud. Artificial intelligence ensures that fraud investigators and analysts have all of the data necessary to carry out their investigations. Ultimately, the research found that artificial intelligence is a necessity for BSA/AML departments to maintain their position in the fight against financial crime. Keywords: Financial Crime and Compliance Management, Professor Richard Kelly, banking, machine learning, management, cyber, technology.

ISBN: 9798643197980Subjects--Topical Terms:

1557594
Banking.
Subjects--Index Terms:

Banking

How Artificial Intelligence and Robotics Process Automation Will Assist BSA/AML Departments Combat Fraud.
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520 $a The purpose of this paper is to research how artificial intelligence and automation can enhance the operational functions of a Bank Secrecy Act/Anti-Money Laundering (BSA/AML) department. BSA/AML departments have a vital function to uphold; to provide the necessary controls to detect money laundering, terrorist financing, and other criminal acts that are a misuse of the United States banking system, per the Bank Secrecy Act of 1970 (OCC, n.d.). The research analyzed the critical areas of the BSA/AML department's primary functionality that can be enhanced by the use of artificial intelligence and automation.This is an important area to research considering financial institution BSA/AML departments inherently are a highly manual labor-intensive environment requiring the collection of data from various sources to be analyzed. Key areas such as transaction monitoring and case & alert generation are areas that require the touch of a human hand to manage the outcome of those functions effectively. Using elements of artificial intelligence can remove the human element allowing that time to be allocated towards the analysis of the data that may uncover fraud. The results of the research concluded that artificial intelligence systems are a useful tool at creating efficiencies to combat fraud. Artificial intelligence ensures that fraud investigators and analysts have all of the data necessary to carry out their investigations. Ultimately, the research found that artificial intelligence is a necessity for BSA/AML departments to maintain their position in the fight against financial crime. Keywords: Financial Crime and Compliance Management, Professor Richard Kelly, banking, machine learning, management, cyber, technology.
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