Models and datasets that support automatic content moderation
AI & ML interests
Research and Policy Questions raised by (open) AI technology
Recent Activity
Organization Card
Welcome to the Hugging Face ML & Society Team Page!
We're a multidisciplinary team working on research and regulatory questions related to AI systems — their (open) development, governance, and impact on society at large.
Team Members
- Yacine Jernite, Head of ML & Society
- Sasha Luccioni, AI & Climate Lead
- Giada Pistilli, Principal Ethicist
- Lucie-Aimée Kaffee, Applied Policy Researcher, EU Policy
We also work closely with Irene Solaiman (Chief Policy Officer), and Avijit Ghosh, (Applied Policy Researcher) in the policy team, and with Meg Mitchell (Chief Ethics Scientist), and Bruna Trevelin (Legal Counsel) on various topics!
Resources
Team's Blog Posts
See a non-exhaustive list of our team's recent writings below:
Click to expand
Recent blog posts:- What kind of environmental impacts are AI companies disclosing? (And can we compare them?)| 09/17/2025
- Advertisement, Privacy, and Intimacy: Lessons from Social Media for Conversational AI | 09/01/25
- Old Maps, New Terrain: Updating Labour Taxonomies for the AI Era | 08/20/2025
- The GPT-OSS models are here… and they’re energy-efficient! | 08/07/25
- How Your Utility Bills Are Subsidizing Power-Hungry AI | 08/06/25
- What Open-Source Developers Need to Know about the EU AI Act's Rules for GPAI Models | 08/04/25
- AI Companionship: Why We Need to Evaluate How AI Systems Handle Emotional Bonds |07/21/25
- What is the Hugging Face Community Building? | 07/15/25
- Can AI Be Consentful? Rethinking Permission in the Age of Synthetic Everything | 07/08/25
- How Much Power does a SOTA Open Video Model Use? ⚡🎥 | 07/02/25
- Whose Voice Do We Hear When AI Speaks? | 06/20/25
- Open Source AI: A Cornerstone of Digital Sovereignty | 06/11/25
- AI Policy @🤗: Response to the 2025 National AI R&D Strategic Plan | 06/02/25
- Bigger isn't always better: how to choose the most efficient model for context-specific tasks 🌱🧑🏼💻 | 05/28/25
- Highlights from the First ICLR 2025 Watermarking Workshop | 05/14/25
- AI Personas: The Impact of Design Choices | 05/07/25
- Reduce, Reuse, Recycle: Why Open Source is a Win for Sustainability | 05/07/25
- Consent by Design: Approaches to User Data in Open AI Ecosystems | 04/17/25
- AI Models Hiding Their Energy Footprint? Here’s What You Can Do| 04/14/25
- Empowering Public Organizations: Preparing Your Data for the AI Era | 04/10/25
- Are AI Agents Sustainable? It depends | 04/07/25
- I Clicked “I Agree”, But What Am I Really Consenting To? | 03/26/25
- AI Policy @🤗: Response to the White House AI Action Plan RFI | 03/19/25
- 🇪🇺 EU AI Act: Comments on the Third Code of Practice Draft 🇪🇺 | 03/13/25
- Announcing AI Energy Score Ratings | 02/11/25
- Announcing the winners of the Frugal AI Challenge 🌱 | 02/11/25
- From Hippocrates to AI: Reflections on the Evolution of Consent | 02/04/25
- AI Agents Are Here. What Now? | 01/13/25
- 🇪🇺✍️ EU AI Act: Systemic Risks in the First CoP Draft Comments ✍️🇪🇺 | 12/12/24
Resources related to AI companionship, such as datasets, papers, and Spaces
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AI-companionship/INTIMA
Viewer • Updated • 380 • 75 • 27 -
INTIMA Companionship Benchmark Responses
🗺10Visualizing model responses to companionship prompts
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INTIMA: A Benchmark for Human-AI Companionship Behavior
Paper • 2508.09998 • Published • 11 -
INTIMA Responses
🚀4INTIMA Benchmark - Model Responses Explorer
Models and datasets that support automatic content moderation
Resources related to AI companionship, such as datasets, papers, and Spaces
-
AI-companionship/INTIMA
Viewer • Updated • 380 • 75 • 27 -
INTIMA Companionship Benchmark Responses
🗺10Visualizing model responses to companionship prompts
-
INTIMA: A Benchmark for Human-AI Companionship Behavior
Paper • 2508.09998 • Published • 11 -
INTIMA Responses
🚀4INTIMA Benchmark - Model Responses Explorer
spaces
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pinned
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Different Flops for Different Folks
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A Review of the Actual Training Costs of AI
pinned
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ML & Society at HF
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🤗 machine learning and society team website
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Lit Review With LMs
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Uses HF inference and academic APIs for directed lit review
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Legal Hackathons Nyu Ai2
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Legal memos on AI from NYU hackathons
Running
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Labor Archive Explorer
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Explore AI, Labor, and Economy trends from 2022-2025
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hfmlsoc/hub_weekly_snapshots
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