What Are You Hiding? Algorithmic Transparency and User Perceptions.
AAAI Spring Symposia(2018)
摘要
Extensive recent media focus has been directed towards the dark side of intelligent systems, how algorithms can influence society negatively. Often, transparency is proposed as a solution or step in the right direction. Unfortunately, research is mixed on the impact of transparency on the user experience. We examine transparency in the context an interactive system that predicts positive/negative emotion from a usersu0027 written text. We unify seemingly this contradictory research under a single model. We show that transparency can negatively affect accuracy perceptions for users whose expectations were not violated by the systemu0027s prediction; however, transparency also limits the damage done when usersu0027 expectations are violated by system predictions.
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