Can we Expect AI to be Wise? A Wisdom, Knowledge (Management), Resonance, and Cognitive Science Perspective

被引:0
作者
Peschl, Markus F. [1 ]
Wagenender, Ernst [2 ]
Kaiser, Alexander [2 ]
Kerschbaum, Clemens [3 ]
机构
[1] Univ Vienna, Vienna, Austria
[2] Vienna Univ Econ & Business, Vienna, Austria
[3] New Design Univ, St Polten, Austria
来源
PROCEEDINGS OF THE 58TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES | 2025年
基金
奥地利科学基金会;
关键词
wisdom; AI; engaged epistemology; 4E cognition; knowledge management;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates whether AI can possess wisdom, a complex and deeply human capacity. We adopt an interdisciplinary approach, drawing on philosophy, 4E cognition, Material Engagement Theory, and engaged epistemology, to argue that wisdom is a dynamic force unfolding through meaningful life experiences and resonant interactions with the world. Central to our discussion is Rosa's concept of resonance, essential for fostering personal growth, emotional empathy, as well as existential and bodily connectedness to the world and its unfolding into an uncertain future. Despite the advanced capabilities of AI/Large Language Models (LLMs), we demonstrate their inability to embody wisdom due to their lack of deep sense-making, embodied interaction, and meaningful engagement with the world and future potentials. We emphasize the need for cultivating human wisdom to ensure technological advancements enrich rather than diminish the human experience, advocating for a balanced and reflective human-technology relationship.
引用
收藏
页码:4863 / 4872
页数:10
相关论文
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[51]  
1991, [No title captured], P35