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05/06/2022
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction
When a human receives a prediction or recommended course of action from ...
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06/13/2021
User Acceptance of Gender Stereotypes in Automated Career Recommendations
Currently, there is a surge of interest in fair Artificial Intelligence ...
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04/18/2021
Fair Representation Learning for Heterogeneous Information Networks
Recently, much attention has been paid to the societal impact of AI, esp...
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10/09/2020
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification
Text features that are correlated with class labels, but do not directly...
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09/02/2020
Neural Fair Collaborative Filtering
A growing proportion of human interactions are digitized on social media...
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01/09/2019
Estimating Buildings' Parameters over Time Including Prior Knowledge
Modeling buildings' heat dynamics is a complex process which depends on ...
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11/18/2018
Bayesian Modeling of Intersectional Fairness: The Variance of Bias
Intersectionality is a framework that analyzes how interlocking systems ...
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07/22/2018
An Intersectional Definition of Fairness
We introduce a measure of fairness for algorithms and data with regard t...
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05/20/2017
Mixed Membership Word Embeddings for Computational Social Science
Word embeddings improve the performance of NLP systems by revealing the ...
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11/01/2016
Variational Bayes In Private Settings (VIPS)
We provide a general framework for privacy-preserving variational Bayes ...
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09/14/2016
Private Topic Modeling
We develop a privatised stochastic variational inference method for Late...
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03/23/2016
