activity
20222026
most citedSkin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets

19 citations · 32 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Intent Graph: Navigating the Analytical Reasoning Space for Exploratory Data Analysis

Junran Yang, Shruti Badrish, Teanna Barrett +1

Exploratory data analysis (EDA) is rarely open-ended in practice: analysts work from high-level domain questions toward the concrete analyses that can answer them, prioritizing dir…

cs.HC2026

Moral Missions: Sustaining Responsible Practice by Surfacing Practitioner Moral Decision-Making Procedures

Teanna Barrett, B. Biira, Jainaba Jawara +8

A growing ecosystem of techniques, toolkits, and guidelines has been developed to help data scientists consider the social implications of data-driven technologies. However, prior…

cs.CY2025★ 13 cited

African Data Ethics: A Discursive Framework for Black Decolonial Data Science

Teanna Barrett, Chinasa T. Okolo, B. Biira +3

The shift towards pluralism in global data ethics acknowledges the importance of including perspectives from the Global Majority to develop responsible data science practices that…

cs.CV2023★ 19 cited

Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets

Teanna Barrett, Quan Ze Chen, Amy X. Zhang

To investigate the well-observed racial disparities in computer vision systems that analyze images of humans, researchers have turned to skin tone as more objective annotation than…

cs.CV2022

Evaluating Novel Mask-RCNN Architectures for Ear Mask Segmentation

Saurav K. Aryal, Teanna Barrett, Gloria Washington

The human ear is generally universal, collectible, distinct, and permanent. Ear-based biometric recognition is a niche and recent approach that is being explored. For any ear-based…