20 citations · 46 across the 9 of their papers we have counts for
3 papers · 1 filter
Measure Utility, Gain Trust: Practical Advice for XAI Researcher
Brittany Davis, Maria Glenski, William Sealy +1
Research into the explanation of machine learning models, i.e., explainable AI (XAI), has seen a commensurate exponential growth alongside deep artificial neural networks throughou…
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation
Dustin Arendt, Zhuanyi Huang, Prasha Shrestha +3
Evaluation beyond aggregate performance metrics, e.g. F1-score, is crucial to both establish an appropriate level of trust in machine learning models and identify future model impr…
GuessTheKarma: A Game to Assess Social Rating Systems
Maria Glenski, Greg Stoddard, Paul Resnick +1
Popularity systems, like Twitter retweets, Reddit upvotes, and Pinterest pins have the potential to guide people toward posts that others liked. That, however, creates a feedback l…