19 citations · 19 across the 1 of their papers we have counts for
3 papers
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication
Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan +3
Datasets are central to training machine learning (ML) models. The ML community has recently made significant improvements to data stewardship and documentation practices across th…
Overcoming Failures of Imagination in AI Infused System Development and Deployment
Margarita Boyarskaya, Alexandra Olteanu, Kate Crawford
NeurIPS 2020 requested that research paper submissions include impact statements on "potential nefarious uses and the consequences of failure." However, as researchers, practitione…
Datasheets for Datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione +4
The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains. To address this gap, we…