认知
认知偏差
计算机科学
认知心理学
借记
心理学
数据科学
认知科学
神经科学
作者
Nattapat Boonprakong,Gaole He,Ujwal Gadiraju,Niels van Berkel,Danding Wang,Si Chen,Jiqun Liu,Benjamin Tag,Jorge Gonçalves,Tilman Dingler
标识
DOI:10.1145/3584931.3611284
摘要
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and negative societal impact. The use of AI systems can amplify and exacerbate cognitive biases in their users. In this workshop, we seek to foster discussions on ongoing research around cognitive biases in human-AI collaboration and identify future research directions to understand, quantify, and mitigate the effects of cognitive biases. We will explore cognitive biases appearing in various contexts of human-AI collaboration: what can cause them?; how can we measure, model, mitigate, and manage cognitive biases?; and how can we utilise cognitive biases for the greater good? We will reflect on workshop discussions to form a research community around cognitive biases and bias-aware systems.
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