artificial managers, artificial management, managers, artificial leadership, team management automation, artificial intelligence
This will be the second part of my thoughts on the consequences of replacing a human manager with a robot. Without introduction we begin. There was first, second, third…. Fourth, the artificial manager will completely change the interactions in the work team. For now, for the sake of simplicity, I will assume in my posts that only the manager will be a robot, and the rest of the team members will continue to be human. However, let’s imagine for a
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In a previous post, I wondered why there is so little talk about the fact that artificial intelligence could act as an artificial manager. Now let’s consider what the consequences of such an invention could be. What would happen if one day you met a humanoid robot in your chair who had just fired your boss? To start, watch this interview on YT: Full interview: “Godfather of artificial intelligence” talks impact and potential of AI In my opinion, it would
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On the one hand, for the past few weeks there has been no quiet talk that artificial intelligence in the form of ChatGPT (I omit, the fact that it is not artificial intelligence) will replace our jobs in many professions and even its creators are announcing to the world to stop working on it, and on the other hand, after typing the phrase “artificial management” into Google, one article from 1986 by Eliezer Geisler appears, defining the terms artificial manager
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In previous weeks, I analyzed whether ChatGPT could be an artificial manager. I’m skeptical that a talking head, learned from thousands of books and websites, can be a manager that takes managerial actions and really manages a team, not just answers employees’ questions (and that’s usually pouring water a bit…). However, the progress of GPT technology is quite rapid, and we can assume that it will be part of a larger whole system that will guide the artificial manager. A
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At the end of March 2023, I wrote 3 posts on why ChatGPT can’t be an artificial manager. There were 2 reasons for this. First, the ontology of the world that chatGPT uses is scattered and inconsistent. Second, ChatGPT derives its knowledge about managing, for example, a team or a project only from past descriptions in books or websites. From such data about what a human manager really does, it is impossible to build an artificial manager, even in the
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