565 citations · 837 across the 31 of their papers we have counts for
7 papers · 1 filter
Estimating the Likelihood of Arrest from Police Records in Presence of Unreported Crimes
Riccardo Fogliato, Arun Kumar Kuchibhotla, Zachary Lipton +3
Many important policy decisions concerning policing hinge on our understanding of how likely various criminal offenses are to result in arrests. Since many crimes are never reporte…
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
William Thong, Przemyslaw Joniak, Alice Xiang
This paper strives to measure apparent skin color in computer vision, beyond a unidimensional scale on skin tone. In their seminal paper Gender Shades, Buolamwini and Gebru have sh…
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data
Keziah Naggita, Julienne LaChance, Alice Xiang
Biases in large-scale image datasets are known to influence the performance of computer vision models as a function of geographic context. To investigate the limitations of standar…
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Andrews +5
Speech datasets are crucial for training Speech Language Technologies (SLT); however, the lack of diversity of the underlying training data can lead to serious limitations in build…
Considerations for Ethical Speech Recognition Datasets
Orestis Papakyriakopoulos, Alice Xiang
Speech AI Technologies are largely trained on publicly available datasets or by the massive web-crawling of speech. In both cases, data acquisition focuses on minimizing collection…
A View From Somewhere: Human-Centric Face Representations
Jerone T. A. Andrews, Przemyslaw Joniak, Alice Xiang
Few datasets contain self-identified sensitive attributes, inferring attributes risks introducing additional biases, and collecting attributes can carry legal risks. Besides, categ…
Ethical Considerations for Responsible Data Curation
Jerone T. A. Andrews, Dora Zhao, William Thong +3
Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed th…