society-ethics/papers

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