Ethical Considerations for Responsible Data Curation

• DOI: 10.48550/arxiv.2302.03629
• Publication Date: 2023-01-01
• Authors: Jerone T. A. Andrews; Dora Zhao; William Thong; Apostolos Modas; Orestis Papakyria...; Shruti Nagpal; Alice Xiang
• Keywords: Contextualization

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