论文标题
可解释的人工智能的影响：推动行为或提高能力？
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?
论文作者
论文摘要
本文旨在提供一个理论上的说明和相应的范例，用于分析可解释的人工智能（XAI）如何影响人们的行为和认知。它利用有关行为改变研究的见解。思考行为改变技术的两个值得注意的框架是旨在影响行为的旨在促进能力的推动力 - 旨在影响行为。它建议基于本地和基于概念的解释更毗邻小推动，而全球和反事实的解释更与促进。它概述了一种测量XAI影响力的方法，并主张理解它以最佳，安全和道德的人类协作的好处。
This article aims to provide a theoretical account and corresponding paradigm for analysing how explainable artificial intelligence (XAI) influences people's behaviour and cognition. It uses insights from research on behaviour change. Two notable frameworks for thinking about behaviour change techniques are nudges - aimed at influencing behaviour - and boosts - aimed at fostering capability. It proposes that local and concept-based explanations are more adjacent to nudges, while global and counterfactual explanations are more adjacent to boosts. It outlines a method for measuring XAI influence and argues for the benefits of understanding it for optimal, safe and ethical human-AI collaboration.
