From the 1 of 4 linked papers with an AI index.
4 papers
Seeing Through the Forecast Clutter: Communicating Climate Forecast Distributions with Weighted Multiple Forecast Visualizations
Ruishi Zou, Siyi Wu, Racquel Fygenson +3
Forecasts often diverge because different models make varying assumptions to account for underlying uncertainty. Readers who consume forecasts may wish to survey the shape and spre…
Charting the Moral Universe: Capturing Virtues and Values of Data Visualization Practice
Chloe Hudson Prock, Enrico Bertini, Michael Correll
What do we value in our visualizations, and in the people who design them? Despite a growing body of work on critical data visualization, the conception of what it is to do ethical…
"Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models
Michael Correll, Lucy Havens, Mahsan Nourani
The paper shows that adding accurate but irrelevant data to model explanations can cause people to over‑trust and positively view discriminatory predictive models, highlighting ris…
"The Worst Weather In America": Augmenting the Information Design of Extreme Cold Weather Forecasts
Michael Correll, Jay Broccolo, Drew Bush
Mount Washington is home to extreme, and extremely volatile, weather conditions. Consulting a weather forecast of conditions at the summit is vital for making one's visit as safe a…