research
∙
05/02/2023
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging
In this paper, we examine computational approaches for measuring the "fa...
share
research
∙
06/14/2022
Measuring Representational Harms in Image Captioning
Previous work has largely considered the fairness of image captioning sy...
research
∙
06/06/2022
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
Data is central to the development and evaluation of machine learning (M...
research
∙
05/05/2022
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Transparency around limitations can improve the scientific rigor of rese...
research
∙
12/10/2021
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
Various tools and practices have been developed to support practitioners...
research
∙
06/12/2021
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
We present a new non-negative matrix factorization model for (0,1) bound...
research
∙
04/27/2021
A Human-Centered Interpretability Framework Based on Weight of Evidence
In this paper, we take a human-centered approach to interpretable machin...
research
∙
03/10/2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
Several pieces of work have uncovered performance disparities by conduct...
research
∙
05/28/2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
We survey 146 papers analyzing "bias" in NLP systems, finding that their...
research
∙
05/03/2020
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs
We use large-scale corpora in six different gendered languages, along wi...
research
∙
12/11/2019
Measurement and Fairness
We introduce the language of measurement modeling from the quantitative ...
research
∙
10/29/2019
Weight of Evidence as a Basis for Human-Oriented Explanations
Interpretability is an elusive but highly sought-after characteristic of...
research
∙
10/29/2019
Quantifying the Semantic Core of Gender Systems
Many of the world's languages employ grammatical gender on the lexeme. F...
research
∙
10/28/2019
Poisson-Randomized Gamma Dynamical Systems
This paper presents the Poisson-randomized gamma dynamical system (PRGDS...
research
∙
07/04/2019
Toward Fairness in AI for People with Disabilities: A Research Roadmap
AI technologies have the potential to dramatically impact the lives of p...
research
∙
06/11/2019
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Studying the ways in which language is gendered has long been an area of...
research
∙
06/11/2019
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Gender stereotypes are manifest in most of the world's languages and are...
research
∙
04/10/2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
There is a growing body of work that proposes methods for mitigating bia...
research
∙
04/05/2019
Combining Sentiment Lexica with a Multi-View Variational Autoencoder
When assigning quantitative labels to a dataset, different methodologies...
research
∙
01/27/2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
We present a large-scale study of gender bias in occupation classificati...
research
∙
12/13/2018
Improving fairness in machine learning systems: What do industry practitioners need?
The potential for machine learning (ML) systems to amplify social inequi...
research
∙
07/22/2018
The Hyperedge Event Model
We introduce the hyperedge event model (HEM)---a generative model for ev...
research
∙
03/23/2018
Datasheets for Datasets
Currently there is no standard way to identify how a dataset was created...
research
∙
03/22/2018
Locally Private Bayesian Inference for Count Models
As more aspects of social interaction are digitally recorded, there is a...
research
∙
03/06/2018
A Reductions Approach to Fair Classification
We present a systematic approach for achieving fairness in a binary clas...
research
∙
02/21/2018
Manipulating and Measuring Model Interpretability
Despite a growing body of research focused on creating interpretable mac...
research
∙
01/19/2017
Poisson--Gamma Dynamical Systems
We introduce a new dynamical system for sequentially observed multivaria...
research
∙
10/31/2016
Flexible Models for Microclustering with Application to Entity Resolution
Most generative models for clustering implicitly assume that the number ...
research
∙
09/07/2016
The Social Dynamics of Language Change in Online Networks
Language change is a complex social phenomenon, revealing pathways of co...
research
∙
06/06/2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
We introduce Bayesian Poisson Tucker decomposition (BPTD) for modeling c...
research
∙
12/02/2015
Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Most generative models for clustering implicitly assume that the number ...
research
∙
06/10/2015
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts
We present a Bayesian tensor factorization model for inferring latent gr...
research
∙
11/11/2014