AI Ethics and Governance
Nusirat Ojuolape Gold () and
Husain Coovadia ()
Additional contact information
Nusirat Ojuolape Gold: University of Johannesburg, Department of Commercial Accounting, College of Business and Economics
Husain Coovadia: University of Johannesburg, Department of Commercial Accounting, College of Business and Economics
from Springer
Abstract:
Abstract Artificial Intelligence (AI) has emerged as one of the most disruptive technologies of the Fourth Industrial Revolution (4IR), positively affecting society while also raising serious ethical concerns. This chapter explores the ethics and governance of AI, tracing its evolution from the earliest period of ELIZA tools when discussions about automation and computing started, to today’s current issues with generative AI. The chapter conceptualizes the definitions of AI ethics and governance from philosophical, legal, technical, and sociocultural perspectives, employing a thorough qualitative and interpretive research approach to translate the discussions into a coherent whole. The chapter also examines governance strategies for resolving ethical dilemmas that hinder AI systems’ ability to operate. Furthermore, the chapter looks at global frameworks like the OECD AI Principles, UNESCO’s Recommendation on the Ethics of AI, and the EU AI Act, as well as regional frameworks like South Africa’s POPIA and National AI Policy Framework. It explores this to demonstrate how universal standards and local realities interact. It also provides strategies for transforming ethical principles into actionable practices, noting that ethics by design, standardization, institutional oversight, ethical literacy, and adaptive governance frameworks as essential components. The chapter concludes with a future reflecting about AI governance, suggesting that, aside from innovation, the future of AI systems must integrate inclusive governance, rights-based strategies that balance technological advancement with equality, justice, and human rights.
Keywords: Artificial intelligence; AI ethics; AI governance; Generative AI; Ethical dilemma; Integrative pathways (search for similar items in EconPapers)
Date: 2026
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:csrchp:978-3-032-20091-4_1
Ordering information: This item can be ordered from
http://www.springer.com/9783032200914
DOI: 10.1007/978-3-032-20091-4_1
Access Statistics for this chapter
More chapters in CSR, Sustainability, Ethics & Governance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().