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The impact of artificial intelligence in society through the lens of Luhmann’s social systems theory: a systematic review

Simões, Gisele, Radosavljevic, Milan and Johnston, James B (2022) The impact of artificial intelligence in society through the lens of Luhmann’s social systems theory: a systematic review. In: British Academy of Management Conference 2022, 31/08/2022-2/09/2022, Alliance Manchester Business School, University of Manchester, Manchester, United Kingdom. (Unpublished)

Item Type: Conference or Workshop Item (Paper)

Abstract

In this developmental paper, a systematic review of Niklas Luhmann’s Social Systems Theory is conducted, oriented to understand the impact of Artificial Intelligence in Society. Luhmann was an inspiring scholar of complexity in the contemporary sociology with an interdisciplinary approach, oriented to explain the functionalism of social structures through an autopoietic concept and his own theory of communication. Applying an abduction approach and qualitative methods, the review explores the proposed theory as the best lens to understand the impact of AI technology in postmodern societies, involving the synthesis of fourteen academic publications from seven databases, and the codification of three categories. Surprising facts have been highlighted as the relevance of expert systems between Artificial intelligence and society, and the role of trust and ethics in social systems.

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More Information

Depositing User: Delphine Doucet

Identifiers

Item ID: 18382
URI: http://sure.sunderland.ac.uk/id/eprint/18382
Official URL: https://www.bam.ac.uk/events-landing/conference.ht...

Users with ORCIDS

ORCID for Milan Radosavljevic: ORCID iD orcid.org/0000-0002-9649-0096

Catalogue record

Date Deposited: 15 Oct 2024 17:39
Last Modified: 15 Oct 2024 17:45

Contributors

Author: Milan Radosavljevic ORCID iD
Author: Gisele Simões
Author: James B Johnston

University Divisions

Services > University Executive

Subjects

Computing > Artificial Intelligence
Computing

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