AI in Risk Management

Nevena Ranković, Dragica Rankovic, Mirjana Ivanovic*, Ljubomir Lazic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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Abstract

This chapter explores the integration of AI in risk management within software project management, starting with key risk concepts, categorization, and models used to assess and address potential threats. It then covers the core stages of risk management, including planning, identification, analysis, response strategies, and monitoring, with a focus on how AI improves efficiency and accuracy in each step. The chapter further examines specific AI applications in risk management, highlighting how machine learning models can predict and mitigate risks. Lastly, it discusses the benefits and challenges of adopting AI-driven risk management strategies.
Original languageEnglish
Title of host publicationRecent Advances in Artificial Intelligence in Cost Estimation in Project Management
EditorsNevena Ranković, Dragica Rankovic, Mirjana Ivanovic, Ljubomir Lazic
PublisherSpringer Cham
Chapter5
Pages197-229
Number of pages33
Edition1
ISBN (Electronic)978-3-031-76572-8
ISBN (Print)978-3-031-76571-1
DOIs
Publication statusPublished - 2024

Publication series

NameArtificial Intelligence-Enhanced Software and Systems Engineering
PublisherSpringer Cham
Volume6
ISSN (Print)2731-6025
ISSN (Electronic)2731-6033

Keywords

  • AI in risk management
  • risk categorization
  • risk identification and analysis
  • AI risk mitigation techniques

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