.png){kind=icon}
返回
Complex systems perspective in assessing risks in artificial intelligence
.png){kind=icon}
OA
AI
DOI：10.1098/rsta.2024.0109.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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'.
Keyword:
artificial intelligence
risks
complex systems
期刊
P
IF:
3.7
论文数:
7.8K
被引数:
2.8W
机构
引用论文
.png){kind=icon}
分享收藏Chile’s public healthcare sector hypertension control rates before and during the pandemic and HEARTS implementation智利公共卫生部门在疫情前后及HEARTS实施期间的高血压控制率OAAI
OAAI分享收藏Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale利用人工智能进行民主话语: 聊天干预可以大规模改善在线政治对话
OAAI
OAAI分享收藏Navigating polycrisis: long-run socio-cultural factors shape response to changing climate应对多重危机: 长期的社会文化因素塑造了对气候变化的反应OAAI
OAAI分享收藏Ag+/MPTMS/PMHS-mediated two-step acid–base synthesis of hybrid materials with embedded nanosilver
PREAI
分享收藏Improving cardiovascular health with the patient-centered, integrated primary care HEARTS model in Trinidad and Tobago在特立尼达和多巴哥，通过以患者为中心、整合初级保健的HEARTS模型改善心血管健康OAAI
OAAI分享收藏分享收藏
查看更多内容