4 papers
Silenced Biases: The Dark Side LLMs Learned to Refuse
Rom Himelstein, Amit LeVi, Brit Youngmann +2
Safety-aligned large language models (LLMs) are becoming increasingly widespread, especially in sensitive applications where fairness is essential and biased outputs can cause sign…
Causal Explanations for Disparate Trends: Where and Why?
Tal Blau, Brit Youngmann, Anna Fariha +1
During data analysis, we are often perplexed by certain disparities observed between two groups of interest within a dataset. To better understand an observed disparity, we need ex…
Fair and Actionable Causal Prescription Ruleset
Benton Li, Nativ Levy, Brit Youngmann +2
Prescriptions, or actionable recommendations, are commonly generated across various fields to influence key outcomes such as improving public health, enhancing economic policies, o…
Summarized Causal Explanations For Aggregate Views (Full version)
Brit Youngmann, Michael Cafarella, Amir Gilad +1
SQL queries with group-by and average are frequently used and plotted as bar charts in several data analysis applications. Understanding the reasons behind the results in such an a…