Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration

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...

Anchoring bias in eliciting attribute weights and values in multi-attribute decision-making

The aim of this study is to look at anchoring bias–one of the main cognitive biases–in two multi-attribute decision-making methods, SMART and Swing. First, the existence of anchoring bias in these two methods for eliciting attribute weights and attribute values is theorised. Then, a special experiment is designed to compare the results...