Information systems (IS) are frequently designed to leverage the negative effect of anchoring bias to influence individuals' decision-making (e.g., by manipulating purchase decisions). Recent advances in Artificial Intelligence (AI) and the explanations of its decisions through explainable AI (XAI) have opened new opportunities for mitigating biased decisions. So far, the potential of these technological advances to overcome anchoring bias remains widely unclear. To this end, we conducted two online experiments with a total of N=390 participants in the context of purchase decisions to examine the impact of AI and XAI-based decision support on anchoring bias. Our results show that AI alone and its combination with XAI help to mitigate the negative effect of anchoring bias. Ultimately, our findings have implications for the design of AI and XAI-based decision support and IS to overcome cognitive biases.

翻译：信息系统（IS）常被设计为利用锚定偏差的负面影响来影响个体决策（例如，通过操控购买决策）。近年来，人工智能（AI）及其可解释人工智能（XAI）决策解释技术的进步，为缓解偏差决策开辟了新途径。目前，这些技术进展在克服锚定偏差方面的潜力仍不明确。为此，我们在购买决策情境中开展了两项在线实验（共计N=390名参与者），以考察基于AI和XAI的决策支持对锚定偏差的影响。研究结果表明，单独使用AI及其与XAI的组合均有助于缓解锚定偏差的负面效应。最终，我们的发现对设计基于AI和XAI的决策支持系统及信息系统以克服认知偏差具有重要启示。