artificial managers, artificial management, managers, artificial leadership, team management automation, artificial intelligence
I find more and more articles in the daily, trade and scientific press about the fact that artificial intelligence will eventually replace humans in the role of manager. Admittedly, this is still received with disbelief even by the authors of these articles themselves, but their predictions are in line with what I have believed for several decades now. One such article is by Behzad Benam, who is the founder and CEO at SafeLine, a company that provides engineering services to
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Automating a manager’s job is one thing, but the other side of the coin is the skills human managers need to master to cope with this automation. A few years ago, Harvard Business Review surveyed 1,770 managers in 14 countries about what skills managers need to develop in an era of widespread use of artificial intelligence. Here’s what the results of that survey are. Area 1: boring and tedious managerial activities As the first area, managers listed activities and tasks
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Ontology is a word that comes from philosophy, but many scientific fields have borrowed ontology and established from it their first assumptions about the reality they study. The same is true for software to do anything in management, and more broadly in organizational reality. I will describe today, based on the literature, why ontology is so important. An ontology is a formal, predetermined description of phenomena in a given slice of reality, whose characteristics are describable by certain variables or
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Increasingly in the media there are analyses of how automation will affect our lives, which professions will continue to exist, and which will be replaced by robots or algorithms, if doing a given job does not require the physical form of a human, a machine moving or waving lifts. I watch the results of such analyses with increasing surprise, because the professions given there have been constantly the same for almost twenty years. However, now I have found an exception!
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In a previous post, I wrote about how trust should be understood and that it is related to the uncertainty of the actions of humans, not machines. However, we colloquially use the term trust in machines and in artificial intelligence as well, which is why KPMG and the Univertsity of Queensland conduct an annual survey on people’s trust in AI. What results can be found in the latest available survey from 2021? The authors of the survey highlight four key
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