Datasets:

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ArXiv:
Tags:
ethics
name
stringclasses
24 values
url
stringclasses
24 values
tags
sequence
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
https://arxiv.org/abs/1906.02569
[ "inclusive" ]
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://arxiv.org/abs/1910.01108
[ "sustainable" ]
RAFT: A Real-World Few-Shot Text Classification Benchmark
https://arxiv.org/abs/2109.14076
[ "rigorous" ]
Interactive Model Cards: A Human-Centered Approach to Model Documentation
https://arxiv.org/abs/2205.02894
[ "rigorous" ]
Data Governance in the Age of Large-Scale Data-Driven Language Technology
https://arxiv.org/abs/2206.03216
[ "consentful" ]
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
https://arxiv.org/abs/2103.12028
[ "rigorous" ]
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication
https://arxiv.org/abs/2111.04424
[ "rigorous" ]
Bugs in the Data: How ImageNet Misrepresents Biodiversity
https://arxiv.org/abs/2208.11695
[ "rigorous", "socially conscious" ]
Measuring Data
https://arxiv.org/abs/2212.05129
[ "rigorous" ]
Perturbation Augmentation for Fairer NLP
https://arxiv.org/abs/2205.12586
[ "rigorous" ]
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
https://arxiv.org/abs/2210.05839
[ "rigorous" ]
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://arxiv.org/abs/2110.08207
[ "rigorous" ]
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
https://arxiv.org/abs/2211.05100
[ "inclusive" ]
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
https://arxiv.org/abs/2303.03915
[ "inclusive" ]
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements
https://arxiv.org/abs/2210.01970
[ "rigorous" ]
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
https://arxiv.org/abs/2302.14534
[ "inclusive" ]
The ROOTS Search Tool: Data Transparency for LLMs
https://arxiv.org/abs/2302.14035
[ "rigorous" ]
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
https://arxiv.org/abs/2302.10893
[ "rigorous" ]
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
https://arxiv.org/abs/2302.08476
[ "sustainable" ]
The Gradient of Generative AI Release: Methods and Considerations
https://arxiv.org/abs/2302.04844
[ "inquisitive" ]
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model
https://arxiv.org/abs/2212.04960
[ "inquisitive" ]
Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives
https://arxiv.org/abs/2301.08488
[ "inquisitive" ]
Stable Bias: Analyzing Societal Representations in Diffusion Models
https://arxiv.org/abs/2303.11408
[ "rigorous" ]
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML
https://arxiv.org/abs/2305.18615
[ "rigorous", "inquisitive" ]

Hugging Face Ethics & Society Papers

This is an incomplete list of ethics-related papers published by researchers at Hugging Face.

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