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Artificial intelligence and autonomy in the learning of organizations: an analysis through complexity and cybernetics
Última alteração: 2022-06-22
Resumo
The research problem is to verify how AI and machine learning can be the means to provide the company's self-organization and learning, in a second-order cybernetic cycle, as stated by Morgan. The objective is to create hypotheses to be tested in future research on use of these tools.Morin's principles of complexity are most evident when using abundant data, which can determine how a company learns and evolves. AI and machine learning are approaching the laws of cybernetics and becoming more autonomous, learning and making decisions.Theoretical reflection on management and complex thinking, paralleling AI with the cybernetic cycle.We understand that AI and machine learning bring a technological realization of complex thinking, are able to fulfill Morin's principles and generate second-order cybernetic business learning.The questions posed by Morgan are used: \"are organizations able to learn from the events that are happening?\" and \u201cis this learning of the first or second order of the cybernetic cycle?\u201d, to generate new hypotheses.We can reach conclusions \u2013 as several authors have pointed out \u2013 such as the end of large corporations, the end of employment (and, perhaps, of work) and new forms of economy. It is by no means intended to have a futuristic vision"
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