most citedThe Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Efficient Deployment of Conversational Natural Language Interfaces over Databases

Anthony Colas, Trung Bui, Franck Dernoncourt +2

Many users communicate with chatbots and AI assistants in order to help them with various tasks. A key component of the assistant is the ability to understand and answer a user's n…

cs.HC20202 cited

The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias

Po-Ming Law, Sana Malik, Fan Du +1

While decision makers have begun to employ machine learning, machine learning models may make predictions that bias against certain demographic groups. Semi-automated bias detectio…

cs.LG20201 cited

An RNN-Survival Model to Decide Email Send Times

Harvineet Singh, Moumita Sinha, Atanu R. Sinha +2

Email communications are ubiquitous. Firms control send times of emails and thereby the instants at which emails reach recipients (it is assumed email is received instantaneously f…

cs.CY2020

Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study

Po-Ming Law, Sana Malik, Fan Du +1

Machine learning models often make predictions that bias against certain subgroups of input data. When undetected, machine learning biases can constitute significant financial and…

cs.LG2019

Modeling Time to Open of Emails with a Latent State for User Engagement Level

Moumita Sinha, Vishwa Vinay, Harvineet Singh

Email messages have been an important mode of communication, not only for work, but also for social interactions and marketing. When messages have time sensitive information, it be…