AI Risk Management: A Bibliometric Analysis
Adelaide Emma Bernardelli and
Paolo Giudici ()
Additional contact information
Adelaide Emma Bernardelli: School for Advanced Studies, IUSS Pavia, 27100 Pavia, Italy
Paolo Giudici: Department of Economics and Management, University of Pavia, Via San Felice 5, 27100 Pavia, Italy
Risks, 2025, vol. 13, issue 7, 1-15
Abstract:
The growth of Artificial Intelligence applications requires the development of risk management models that can balance opportunities with risks. This paper contributes to the development of Artificial Intelligence risk management models by means of a thorough bibliometric analysis. The analysis highlights the need to develop a quantitative AI risk management framework.
Keywords: AI risk management; sustainability; responsible AI; Safe AI; human-centered AI (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-9091/13/7/131/pdf (application/pdf)
https://www.mdpi.com/2227-9091/13/7/131/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:13:y:2025:i:7:p:131-:d:1696328
Access Statistics for this article
Risks is currently edited by Mr. Claude Zhang
More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().