Corvinus
Corvinus

Entangled AI : artificial intelligence that serves the future

Köves, Alexandra ORCID: https://orcid.org/0000-0002-4642-156X, Fehér, Katalin ORCID: https://orcid.org/0009-0000-7482-4510, Vicsek, Lilla Mária ORCID: https://orcid.org/0000-0002-6034-7503 and Fischer, Máté (2024) Entangled AI : artificial intelligence that serves the future. AI and Society: Journal of Knowledge, Culture and Communication . DOI 10.1007/s00146-024-02037-4

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Official URL: https://doi.org/10.1007/s00146-024-02037-4


Abstract

While debate is heating up regarding the development of AI and its perceived impacts on human society, policymaking is struggling to catch up with the demand to exercise some regulatory control over its rapid advancement. This paper aims to introduce the concept of entangled AI that emerged from participatory backcasting research with an AI expert panel. The concept of entanglement has been adapted from quantum physics to effectively capture the envisioned form of artificial intelligence in which a strong interconnectedness between AI, humans, society, and nature is reflected. Entanglement assumes that AI should serve nature, social well-being, justice, and the resilience of this intertwined network simultaneously and promote a dynamic balance among these factors. This approach allows us to understand the pervasive role of this technology and the scope of human agency in its development. The study shows how such concepts seem to transcend the dominant discourses related to expectations, technological determinism, and humanism. An additional aim of this paper is to demonstrate how backcasting can contribute to generating useful understandings of the future of AI and fruitful insights for policymaking. © The Author(s) 2024.

Item Type:Article
Uncontrolled Keywords:Artificial intelligence · Backcasting · Entangled AI · Expectations · Interconnectedness · AI ethics
Divisions:Corvinus Doctoral Schools
Institute of Operations and Decision Sciences
Institute of Social and Political Sciences
Subjects:Computer science
Futures Research
DOI:10.1007/s00146-024-02037-4
ID Code:10267
Deposited By: MTMT SWORD
Deposited On:21 Aug 2024 12:04
Last Modified:21 Aug 2024 12:04

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