首页|Navigating the decision-making landscape of AI in risk finance: Techno-accountability unveiled

Navigating the decision-making landscape of AI in risk finance: Techno-accountability unveiled

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  • NETL
  • NSTL
  • Wiley
The integration of artificial intelligence (AI) systems has ushered in a profound transformation.This conversion is marked by revolutionary extrapolative capabilities, ashift toward data-centric decision-making processes, and the enhancement of toolsfor managing risks. However, the adoption of these AI innovations has sparked controversydue to their unpredictable and opaque disposition. This study employs thetransactional stress model to empirically investigate how six technological stressors(techno-stressors) impact both techno-eustress (positive stress) and techno-distress(negative stress) experienced by finance professionals and experts. To collect datafor this research, an e-survey was distributed to a diverse group of 251 participantsfrom various sources. The findings, particularly the identification and developmentof techno-accountability as a significant factor, contribute to the risk analysis domainby improving the failure mode and effect analysis framework to better fit the rapidlyevolving landscape of AI-driven innovations.

artificial intelligencerisk analysistechno-accountabilitytechno-stressors

Helmi Issa、Roy Dakroub、Hussein Lakkis、Jad Jaber

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CEREN EA 7477, Burgundy School of Business,Universite Bourgogne Franche-Comte, Dijon,France

EPAM Systems France, Paris, France

Management and Strategy Department, AntonineUniversity, Baabda, Lebanon

Strategic Management Department, LebaneseAmerican University (LAU), Beirut, Lebanon

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2025

10.1111/risa.14336

Risk analysis

Risk analysis

ISSN：0272-4332
年,卷(期)：2025.45(4)
  • 156