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20212023
most citedAugmented Datasheets for Speech Datasets and Ethical Decision-Making

26 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2023★ 26 cited

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…

cs.CV2023★ 13 cited

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…

cs.CV2023★ 5 cited

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition

Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao +4

Current dataset collection methods typically scrape large amounts of data from the web. While this technique is extremely scalable, data collected in this way tends to reinforce st…

cs.CV2022★ 6 cited

Men Also Do Laundry: Multi-Attribute Bias Amplification

Dora Zhao, Jerone T. A. Andrews, Alice Xiang

As computer vision systems become more widely deployed, there is increasing concern from both the research community and the public that these systems are not only reproducing but…

cs.CV2022★ 1 cited

Gender Artifacts in Visual Datasets

Nicole Meister, Dora Zhao, Angelina Wang +3

Gender biases are known to exist within large-scale visual datasets and can be reflected or even amplified in downstream models. Many prior works have proposed methods for mitigati…

cs.CV2021★ 1 cited

Understanding and Evaluating Racial Biases in Image Captioning

Dora Zhao, Angelina Wang, Olga Russakovsky

Image captioning is an important task for benchmarking visual reasoning and for enabling accessibility for people with vision impairments. However, as in many machine learning sett…