Complex systems perspective in assessing risks in artificial intelligence

In this article, we identify challenges in the complex interaction between artificial intelligence (AI) systems and society. We argue that AI systems need to be studied in their socio-political context to be able to better appreciate a diverse set of potential outcomes that emerge from long-term feedback between technological development, inequalities and collective decision-making processes. This means that assessing the risks from the deployment of any specific technology presents unique challenges. We propose that risk assessments concerning AI systems should incorporate a complex systems perspective, with adequate models that can represent short- and long-term effects and feedback, along with an emphasis on increasing public engagement and participation in the process.This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

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Publication Details

Journal
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2024-11-13
DOI
https://doi.org/10.1098/rsta.2024.0109
Citations
7
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.97

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article

Complex systems perspective in assessing risks in artificial intelligence

Sheshank Shankar, Rania Wazir, Fariba Karimi, Dániel Kondor et al.
7 citations
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Complex Network Analysis Techniques
1.97
article

Complex systems perspective in assessing risks in artificial intelligence

Sheshank Shankar, Rania Wazir, Fariba Karimi, Dániel Kondor, Valerie Hafez
article en
7 citations

Abstract

In this article, we identify challenges in the complex interaction between artificial intelligence (AI) systems and society. We argue that AI systems need to be studied in their socio-political context to be able to better appreciate a diverse set of potential outcomes that emerge from long-term feedback between technological development, inequalities and collective decision-making processes. This means that assessing the risks from the deployment of any specific technology presents unique challenges. We propose that risk assessments concerning AI systems should incorporate a complex systems perspective, with adequate models that can represent short- and long-term effects and feedback, along with an emphasis on increasing public engagement and participation in the process.This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesVol. 382(2285)
Graz University of Technology (AT), Complexity Science Hub (AT)
Vienna Science and Technology Fund, Österreichische Forschungsförderungsgesellschaft
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Complex Network Analysis Techniques
1.97
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Complex systems perspective in assessing risks in artificial intelligence — Sheshank Shankar, Rania Wazir, et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2024) | TGRS Research Map | TGRS