论文标题
算法推动做出更好的选择：评估XAI框架的有效性以向用户揭示算法决策中的偏见
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users
论文作者
论文摘要
在该职位论文中，我们建议使用现有的XAI框架来设计算法将用户暴露于有问题的内容（例如抗疫苗视频）的情况下。我们的干预设计包括事实（表明发生的事情的算法理由）伴随着预警或反事实解释。虽然前前警告表明对用户采取行动的潜在风险，但反事实解释将表明用户应执行哪些操作来改变算法结果。我们设想将“决策辅助工具”等干预措施用于用户，这将帮助他们做出明智的选择。
In this position paper, we propose the use of existing XAI frameworks to design interventions in scenarios where algorithms expose users to problematic content (e.g. anti vaccine videos). Our intervention design includes facts (to indicate algorithmic justification of what happened) accompanied with either fore warnings or counterfactual explanations. While fore warnings indicate potential risks of an action to users, the counterfactual explanations will indicate what actions user should perform to change the algorithmic outcome. We envision the use of such interventions as `decision aids' to users which will help them make informed choices.
