Complex systems perspective in assessing risks in artificial intelligence

被引：0
|
作者：
Kondor, Daniel [1 ]
Hafez, Valerie [2 ]
Shankar, Sudhang [3 ]
Wazir, Rania [4 ]
Karimi, Fariba [1 ,3 ]
机构：
[1] Complexity Science Hub, Vienna, Austria
[2] Independent Researcher/Women in Ai Austria, Vienna, Austria
[3] Graz University of Technology, Graz, Austria
[4] Leiwand.ai, Vienna, Austria
来源：
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences | 2024年 / 382卷 / 2285期
关键词：
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'. © 2024 The Authors;
D O I：
10.1098/rsta.2024.0109
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