Abstract

The article explores the impact of the ongoing progress and adaptation of artificial intelligence on the practice of the corporate governance. It applies three lenses to artificial governance—the business, technology and society lenses—to assess the desirability, feasibility and responsibility of automating board-level decision-making to ensure effective corporate governance. Based on an assessment of the potential and limitations of human and machine learning for effective board-level decision-making, the article proposes five scenarios of artificial governance, i.e. assisted, augmented, amplified, autonomous and autopoietic intelligence, that are likely to shape the governance of organizations today, tomorrow and beyond. It discusses the implications of both the governance of and the governance with artificial intelligence in the three horizons and concludes with an appeal to board members to take an active role in understanding, imagining and shaping the future of artificial governance.

Highlights

  • Artificial intelligence (AI) is at the top of the agenda for many business leaders (Davenport and Ronanki 2018), it is not a new term—it was originally coined in the 19050s (Russell and Norvig 2016)

  • As we focus on the impact of artificial intelligence (AI) on the board of directors (BoD)’s decision making, we need to identify the key decision types a BoD usually deals with:

  • In order to better understand the potential contribution of AI on decision making at the board level, it is indispensable to decipher the black box of AI and discuss its different types and evolution (Nilsson 2010) as well as its advantages and shortcomings as compared to human intelligence

Read more

Summary

Introduction

Artificial intelligence (AI) is at the top of the agenda for many business leaders (Davenport and Ronanki 2018), it is not a new term—it was originally coined in the 19050s (Russell and Norvig 2016). This article aims to close this gap by proposing a scenario framework to assess the impact of AI on corporate governance practice. For the purpose of this article, we define corporate governance as “the system by which companies are directed and controlled” We shall focus in this article on the impact of intelligent machines on the activity of decision-making by the entity of the board of directors (BoD) related to the control and direction of the corporation. Given the multifaceted nature of corporate governance, we propose an integrated perspective combining the business, i.e. the definition of the realm of desirability and the technology, i.e. the definition of the realm of feasibility, with the legal and ethical perspectives. In line with the neo-institutional view that ethical considerations eventually evolve into legally binding rules (Scott 1995), we merge the latter two into one perspective, which defines the realm of responsibility

The realm of desirability: the business perspective
Defining a taxonomy of board decisions
Proposing predictability levels of board decisions
The realm of feasibility: the technology perspective
Understanding different approaches to artificial intelligence
Legal considerations: complying with AI regulations
Ethical considerations: anticipating societal AI expectations
The realm of sustainability: the integrated perspective
Augmented intelligence: making the board more effective in governance
Amplified intelligence: making the board and machine co‐govern
Autonomous intelligence: making the corporation self‐govern
Autopoietic intelligence: making corporate governance self‐evolve
Implications
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call