Human intelligence and artificial intelligence: future opportunities, challenges, and responsibilities in corporate governance research
Brian Bolton and
Jung Park
Chapter 20 in Advancing Corporate Governance Research, 2026, pp 386-414 from Edward Elgar Publishing
Abstract:
The integration of artificial intelligence (AI) into corporate governance has begun to redefine how organizations operate and make strategic decisions. This chapter explores this integration of AI into corporate governance using a unique approach: it surveys the 33 contributors to this book to obtain their expert perspectives on this issue. Despite working on vastly different research agendas, several common themes emerged from these contributors. Boards and executives increasingly use AI tools for analytics, predictive modeling, and risk management, creating opportunities to enhance decision-making and transparency. However, this technological shift brings new challenges, including algorithmic bias, data privacy concerns, and ethical accountability. The chapter addresses each of these from the perspective of each of the four primary themes in this book: cultural dynamics of corporate governance, start-up and new venture governance, governance of family firms, and governance of social purpose, mission and impact. It concludes with an exploration of future research opportunities related to the intersection of AI and corporate governance; in short, the AI revolution has created a plethora of exciting, new questions that will advance the field of corporate governance research.
Keywords: Artificial intelligence; Machine learning; Corporate governance; Corporate culture; Boards of directors (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035324958
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035324965.00035 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden
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:elg:eechap:22953_24
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().