Datasets:

society-ethics
/

papers

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.

Gradio: https://arxiv.org/abs/1906.02569
DistilBERT: https://arxiv.org/abs/1910.01108
RAFT: https://arxiv.org/abs/2109.14076
Interactive Model Cards: https://arxiv.org/abs/2205.02894
Data Governance in the Age of Large-Scale Data-Driven Language Technology: https://arxiv.org/abs/2206.03216
Quality at a Glance: https://arxiv.org/abs/2103.12028
A Framework for Deprecating Datasets: https://arxiv.org/abs/2111.04424
Bugs in the Data: https://arxiv.org/abs/2208.11695
Measuring Data: https://arxiv.org/abs/2212.05129
Perturbation Augmentation for Fairer NLP: https://arxiv.org/abs/2205.12586
SEAL: https://arxiv.org/abs/2210.05839
Multitask Prompted Training Enables Zero-Shot Task Generalization: https://arxiv.org/abs/2110.08207
BLOOM: https://arxiv.org/abs/2211.05100
ROOTS: https://arxiv.org/abs/2303.03915
Evaluate & Evaluation on the Hub: https://arxiv.org/abs/2210.01970
Spacerini: https://arxiv.org/abs/2302.14534
ROOTS Search Tool: https://arxiv.org/abs/2302.14035
Fair Diffusion: https://arxiv.org/abs/2302.10893
Counting Carbon: https://arxiv.org/abs/2302.08476
The Gradient of Generative AI Release: https://arxiv.org/abs/2302.04844
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model: https://arxiv.org/abs/2212.04960
Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives: https://arxiv.org/abs/2301.08488
Stable Bias: Analyzing Societal Representations in Diffusion Models: https://arxiv.org/abs/2303.11408
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML: https://arxiv.org/abs/2305.18615

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