Emilee Rader|Kelley Cotter|Janghee Cho
Explanations as Mechanisms for Supporting Algorithmic Transparency
Michigan State University|Michigan State University|Michigan State University
transparency empower users make informed choices use algorithmic decisionmaking system judge potential consequences however transparency often conceptualized outcomes intended bring specifics mechanisms achieve outcomes conducted online experiment focusing different ways explaining facebooks news feed algorithm might affect participants beliefs judgments news feed found explanations caused participants become aware system works helped determine whether system biased control see explanations less effective helping participants evaluate correctness systems output form opinions sensible consistent behavior present implications design transparency mechanisms algorithmic decisionmaking systems based results