Ethical Considerations for Responsible Data Curation

Jerone T.A. Andrews, Apostolos Modas, Dora Zhao, Orestis Papakyriakopoulos, William Thong, Alice Xiang

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed through nonconsensual web scraping lack crucial metadata for comprehensive fairness and robustness evaluations. Current remedies are post hoc, lack persuasive justification for adoption, or fail to provide proper contextualization for appropriate application. Our research focuses on proactive, domain-specific recommendations, covering purpose, privacy and consent, and diversity, for curating HCCV evaluation datasets, addressing privacy and bias concerns. We adopt an ante hoc reflective perspective, drawing from current practices, guidelines, dataset withdrawals, and audits, to inform our considerations and recommendations.

Original languageEnglish
Pages (from-to)55320-55360
Number of pages41
JournalAdvances in Neural Information Processing Systems
Volume36
StatePublished - 2023
Externally publishedYes
Event37th Conference on Neural Information Processing Systems, NeurIPS 2023 - New Orleans, United States
Duration: 10 Dec 202316 Dec 2023

Fingerprint

Dive into the research topics of 'Ethical Considerations for Responsible Data Curation'. Together they form a unique fingerprint.

Cite this