[We’re pleased to welcome Sukanto Bhattacharya of Deakin University. Sukanto recently published an article in Group & Organization Management with co-authors Ken Parry and Michael Cohen, entitled “Rise of the Machines: A Critical Consideration of Automated Leadership Decision Making in Organizations.”]
What if it is a machine that provides an organization’s vision for the future instead of a visionary human? Are you willing to accept a machine as your boss? What might happen if your next promotion is decided by a robot?
Intelligent machines, from automobiles to dishwashers, are increasingly making forays into every conceivable dimension of human life with a promise of making things better but perhaps not always quite delivering on that promise. Machine intelligence has permeated various levels of organizational decision-making ranging from robotic technology on production shop-floors to intelligent decision support systems for top management.
In their recent article published in Group & Organization Management, authors Ken Parry, Michael Cohen and Sukanto Bhattacharya hypothesize a scenario where it is possible for an intelligent machine to assume the role of an organizational leader and carry out the decision-making tasks. Without engaging in a debate as to the likelihood of such a scenario, the authors present an overview of the current state of the art in artificial intelligence research, allowing readers to form their own opinion on the plausibility of such a scenario. Assuming the eventuation of such a scenario, the authors then proceed to critically consider some of the potential outcomes, both positive as well as negative, from automated organizational leadership. They posit a design framework for developing an intelligent leadership decision-making system with the objective of ensuring the positive outcomes while thwarting some of the negative (and in some cases, outright dangerous) ones. Their article aims to open up a new line of intellectual deliberations, involving organizational and management sciences on one hand and artificial intelligence as well as systems development on the other, in addressing a number of important moral/ethical issues that they identified.
The abstract for the paper:
Machines are increasingly becoming a substitute for human skills and intelligence in a number of fields where decisions that are crucial to group performance have to be taken under stringent constraints—for example, when an army contingent has to devise battlefield tactics or when a medical team has to diagnose and treat a life-threatening condition or illness. We hypothesize a scenario where similar machine-based intelligent technology is available to support, and even substitute human decision making in an organizational leadership context. We do not engage in any metaphysical debate on the plausibility of such a scenario. Rather, we contend that given what we observe in several other fields of human decision making, such a scenario may very well eventuate in the near future. We argue a number of “positives” that can be expected to emerge out of automated group and organizational leadership decision making. We also posit several anti-theses—“negatives” that can also potentially emerge from the hypothesized scenario and critically consider their implications. We aim to bring leadership and organization theorists, as well as researchers in machine intelligence, together at the discussion table for the first time and postulate that while leadership decision making in a group/organizational context could be effectively delegated to an artificial-intelligence (AI)-based decision system, this would need to be subject to the devising of crucial safeguarding conditions.
You can read “Rise of the Machines: A Critical Consideration of Automated Leadership Decision Making in Organizations” from Group & Organization Management free for the next two weeks by clicking here.