AI in Corporate Governance: Perspectives from the MENA

Nehme Azoury () and Cynthia El Hajj ()
Additional contact information
Nehme Azoury: Holy Spirit University of Kaslik (USEK)
Cynthia El Hajj: Holy Spirit University of Kaslik (USEK)

Chapter Chapter 18 in AI in the Middle East for Growth and Business, 2025, pp 317-326 from Springer

Abstract: Abstract This chapter examines the emerging role of AI in transforming corporate governance within the Middle East. It highlights AI's contributions to enhancing decision-making in the boardroom through real-time data analysis, improving risk management with predictive analytics, and ensuring regulatory compliance via automated monitoring systems. The chapter addresses crucial ethical issues such as data privacy, algorithmic bias, and accountability in AI-driven decisions, underscoring the importance of ethical frameworks and guidelines for responsible AI use. It emphasizes AI's potential to make corporate governance more transparent, efficient, and accountable across the region. However, it also stresses the necessity for ongoing education, ethical oversight, and regulatory updates to maximize AI's benefits in governance while addressing its challenges. This chapter aims to provide a nuanced understanding of AI's impact on corporate governance in the Middle East, balancing its advantages with the need for ethical and regulatory safeguards.

Keywords: Artificial intelligence in governance; Corporate decision-making; Risk management; Regulatory compliance (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-031-75589-7_18

Ordering information: This item can be ordered from
http://www.springer.com/9783031755897

DOI: 10.1007/978-3-031-75589-7_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().