AI, Society and Environment: a Possible Complex System Framework

The large-scale deployment of AI models introduces significant uncertainty regarding their systemic behaviour. While these models have the potential to boost productivity and advance fields such as health and climate science, they also pose risks, including the reinforcement of biases, the spread of misinformation, and support for autocratic regimes. This paper examines the interaction between social, environmental, and AI systems from the perspective of a complex system’s agent framework, using a resource-impact lens to explore these dynamics.

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Published
2024-11-27
DOI
https://doi.org/10.5753/laai-ethics.2024.32473
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
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article

AI, Society and Environment: a Possible Complex System Framework

Cristian Muñoz, Kleyton da Costa, Bernardo Modenesi, Enio Alterman Blay
Multi-Agent Systems and Negotiation
article

AI, Society and Environment: a Possible Complex System Framework

Cristian Muñoz, Kleyton da Costa, Bernardo Modenesi, Enio Alterman Blay
article en

Abstract

The large-scale deployment of AI models introduces significant uncertainty regarding their systemic behaviour. While these models have the potential to boost productivity and advance fields such as health and climate science, they also pose risks, including the reinforcement of biases, the spread of misinformation, and support for autocratic regimes. This paper examines the interaction between social, environmental, and AI systems from the perspective of a complex system’s agent framework, using a resource-impact lens to explore these dynamics.

University of Michigan (US), Holistic Management International (US), Universidad San Pedro (PE)
Openalex Percentile: Top 78%
Multi-Agent Systems and Negotiation
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