The Role of AI in Risk Management: Benefits, Challenges, and Adoption Strategies

This study explores the role of artificial intelligence (AI) in risk management, focusing on its integration within business operations. The primary objective of this research is to examine both the potential benefits and associated risks of adopting AI technologies, with a specific emphasis on data security, ethical concerns, and governance. A mixed methodology was employed, combining a comprehensive literature review on AI's applications and limitations with qualitative interviews conducted with professionals from various industries, including risk management, higher education, and IT development. The findings highlight key challenges in AI adoption, such as data privacy issues, bias in AI algorithms, and the lack of ethical reasoning in decision-making processes. Based on these insights, the study recommends practical strategies for businesses to mitigate risks, including implementing effective governance frameworks, developing AI literacy through employee training, and deploying safeguards such as guardrails, audits, and human oversight. The findings emphasize the importance of balancing AI's potential benefits with responsible integration to foster trust and ensure ethical AI practices in business operations.

Publication Details

Journal
Bryant Digital Repository (Bryant University)
Published
2025-04-25
Primary Topic
Electrical and Electromagnetic Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of AI in Risk Management: Benefits, Challenges, and Adoption Strategies

Bryant Digital Repository (Bryant University)
Electrical and Electromagnetic Research
article

The Role of AI in Risk Management: Benefits, Challenges, and Adoption Strategies

article en

Abstract

This study explores the role of artificial intelligence (AI) in risk management, focusing on its integration within business operations. The primary objective of this research is to examine both the potential benefits and associated risks of adopting AI technologies, with a specific emphasis on data security, ethical concerns, and governance. A mixed methodology was employed, combining a comprehensive literature review on AI's applications and limitations with qualitative interviews conducted with professionals from various industries, including risk management, higher education, and IT development. The findings highlight key challenges in AI adoption, such as data privacy issues, bias in AI algorithms, and the lack of ethical reasoning in decision-making processes. Based on these insights, the study recommends practical strategies for businesses to mitigate risks, including implementing effective governance frameworks, developing AI literacy through employee training, and deploying safeguards such as guardrails, audits, and human oversight. The findings emphasize the importance of balancing AI's potential benefits with responsible integration to foster trust and ensure ethical AI practices in business operations.

Bryant Digital Repository (Bryant University)
Quality Education
Openalex Percentile: Top 51%
Electrical and Electromagnetic Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Role of AI in Risk Management: Benefits, Challenges, and Adoption Strategies · Bryant Digital Repository (Bryant University) (2025) | TGRS Research Map | TGRS