Paras Dubey
Management
May 2025
The paper analyzes how AI is changing modern risk management approaches in different sectors. The study applies analysis of secondary information to discuss how technologies such as machine learning, natural language processing, predictive analytics and robotic process automation fit into AI. After assessing reliable development materials such as academic works, reports, legal documents and studies, the study finds out which key tools are being used, rates their success and lists important problems such as transparency, easy implementation and bias. Besides, it examines legal and ethical matters and puts great importance on privacy and data safety. The study highlights different yet related applications of AI that support risk identification, better predictions and decision-making, but it also points out that responsible deployment of AI in risk-sensitive fields calls for solid governance and ethical supervision
603- 617
© Airo Journals 2021
