Examining the Implication of AI (Artificial Intelligence) Solutions for the Operational Risk in Enterprises and/or in Financial Institutions

• Autorzy: Ferdous Ahmed , Marek Szczepański
• Języki publikacji: EN

Abstrakty

EN

The purpose of this study is to analyze the influences of Artificial Intelligence on Operational Risk Management, the new Operational Risks that AI might introduce, and the existing AI-based technologies for managing Operational Risks in enterprises and/or financial institutions. This investigation has found that Artificial Intelli - gence has increased automation, analytical power, the elimination of time-consuming and repetitive operations and procedures, in-depth understanding of data, simplified decision-making, retention of competent staff and customers, economies of scale, fraud detection, and suspicious transaction identification, 32 anti-money laundering and fraud prevention control, credit evaluation, and cyber security. Algorithmic risk (bias, feedback, and misuse), hidden layers, and less traceability of Artificial Intelligence all can contribute to the introduction of new Operational Risks. (original abstract)

Słowa kluczowe

EN

Artificial intelligence; Machine learning; Operational risk; Financial institutions; Enterprises

PL

Sztuczna inteligencja; Uczenie maszynowe; Ryzyko operacyjne; Instytucje finansowe; Przedsiębiorstwo

• Czasopismo: Przegląd Ekonomiczny
• Rocznik: 2022
• Numer: nr 24
• Strony: 31--37

Twórcy

autor

Ferdous Ahmed

• Poznań University of Technology

autor

Marek Szczepański

• Poznan University of Technology, Poland

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