39 citations · 143 across the 29 of their papers we have counts for
5 papers · 1 filter
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Javier Antorán, Yunfeng Zhang +12
Algorithmic transparency entails exposing system properties to various stakeholders for purposes that include understanding, improving, and contesting predictions. Until now, most…
Causal Multi-Level Fairness
Vishwali Mhasawade, Rumi Chunara
Algorithmic systems are known to impact marginalized groups severely, and more so, if all sources of bias are not considered. While work in algorithmic fairness to-date has primari…
Machine Learning in Population and Public Health
Vishwali Mhasawade, Yuan Zhao, Rumi Chunara
Research in population and public health focuses on the mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individ…
Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes
Yijun Tian, Rumi Chunara
Regulation of tobacco products is rapidly evolving. Understanding public sentiment in response to changes is very important as authorities assess how to effectively protect populat…
No computation without representation: Avoiding data and algorithm biases through diversity
Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
The emergence and growth of research on issues of ethics in AI, and in particular algorithmic fairness, has roots in an essential observation that structural inequalities in societ…