llm-values (llm-values)

giadap

posted an update about 14 hours ago

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572

Ever notice how some AI assistants feel like tools while others feel like companions? Turns out, it's not always about fancy tech upgrades, because sometimes it's just clever design.

Our latest blog post at Hugging Face dives into how minimal design choices can completely transform how users experience AI. We've seen our community turn the same base models into everything from swimming coaches to interview prep specialists with surprisingly small tweaks.

The most fascinating part? When we tested identical models with different "personalities" in our Inference Playground, the results were mind-blowing.

Want to experiment yourself? Our Inference Playground lets anyone (yes, even non-coders!) test these differences in real-time. You can:

- Compare multiple models side-by-side
- Customize system prompts
- Adjust parameters like temperature
- Test multi-turn conversations

It's fascinating how a few lines of instruction text can transform the same AI from strictly professional to seemingly caring and personal, without changing a single line of code in the model itself.

Read more here: https://huggingface.co/blog/giadap/ai-personas

meg

posted an update 15 days ago

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2383

New launch: See the energy use of chatbot conversations, in real time. =)
jdelavande/chat-ui-energy
Great work from @JulienDelavande !

giadap

posted an update 21 days ago

Post

1604

🤗 Just published: "Consent by Design" - exploring how we're building better consent mechanisms across the HF ecosystem!

Our research shows open AI development enables:
- Community-driven ethical standards
- Transparent accountability
- Context-specific implementations
- Privacy as core infrastructure

Check out our Space Privacy Analyzer tool that automatically generates privacy summaries of applications!

Effective consent isn't about perfect policies; it's about architectures that empower users while enabling innovation. 🚀

Read more: https://huggingface.co/blog/giadap/consent-by-design

3 replies

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yjernite

posted an update 21 days ago

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3181

Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on 🤗

HF Spaces have tons (100Ks!) of cool demos leveraging or examining AI systems - and because most of them are OSS we can see exactly how they handle user data 📚🔍

That requires actually reading the code though, which isn't always easy or quick! Good news: code LMs have gotten pretty good at automatic review, so we can offload some of the work - here I'm using Qwen/Qwen2.5-Coder-32B-Instruct to generate reports and it works pretty OK 🙌

The app works in three stages:
1. Download all code files
2. Use the Code LM to generate a detailed report pointing to code where data is transferred/(AI-)processed (screen 1)
3. Summarize the app's main functionality and data journeys (screen 2)
4. Build a Privacy TLDR with those inputs

It comes with a bunch of pre-reviewed apps/Spaces, great to see how many process data locally or through (private) HF endpoints 🤗

Note that this is a POC, lots of exciting work to do to make it more robust, so:
- try it: yjernite/space-privacy
- reach out to collab: yjernite/space-privacy

giadap

authored a paper about 1 month ago

Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice

Paper • 2504.00797 • Published Apr 1 • 2

giadap

posted an update about 1 month ago

Post

2347

We've all become experts at clicking "I agree" without a second thought. In my latest blog post, I explore why these traditional consent models are increasingly problematic in the age of generative AI.

I found three fundamental challenges:
- Scope problem: how can you know what you're agreeing to when AI could use your data in different ways?
- Temporality problem: once an AI system learns from your data, good luck trying to make it "unlearn" it.
- Autonomy trap: the data you share today could create systems that pigeonhole you tomorrow.

Individual users shouldn't bear all the responsibility, while big tech holds all the cards. We need better approaches to level the playing field, from collective advocacy and stronger technological safeguards to establishing "data fiduciaries" with a legal duty to protect our digital interests.

Available here: https://huggingface.co/blog/giadap/beyond-consent

sasha

authored a paper about 1 month ago

Fully Autonomous AI Agents Should Not be Developed

Paper • 2502.02649 • Published Feb 4 • 33

meg

authored a paper about 1 month ago

Fully Autonomous AI Agents Should Not be Developed

Paper • 2502.02649 • Published Feb 4 • 33

yjernite

authored a paper 2 months ago

Beyond Release: Access Considerations for Generative AI Systems

Paper • 2502.16701 • Published Feb 23 • 16

alinaleidinger

authored 2 papers 3 months ago

Probing LLMs for Joint Encoding of Linguistic Categories

Paper • 2310.18696 • Published Oct 28, 2023 • 1

How far can bias go? -- Tracing bias from pretraining data to alignment

Paper • 2411.19240 • Published Nov 28, 2024

giadap

authored a paper 3 months ago

Fully Autonomous AI Agents Should Not be Developed

Paper • 2502.02649 • Published Feb 4 • 33

giadap

posted an update 3 months ago

Post

497

From ancient medical ethics to modern AI challenges, the journey of consent represents one of humanity's most fascinating ethical evolutions. In my latest blog post, I explore how we've moved from medical paternalism to a new frontier where AI capabilities force us to rethink consent.

The "consent gap" in AI is real: while we can approve initial data use, AI systems can generate countless unforeseen applications of our personal information. It's like signing a blank check without knowing all possible amounts that could be filled in.

Should we reimagine consent for the AI age? Perhaps we need dynamic consent systems that evolve alongside AI capabilities, similar to how healthcare transformed from physician-centered authority to patient autonomy.

Curious to hear your thoughts: how can we balance technological innovation with meaningful user sovereignty over digital identity?

Read more: https://huggingface.co/blog/giadap/evolution-of-consent

meg

posted an update 4 months ago

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3378

💫...And we're live!💫 Seasonal newsletter from ethicsy folks at Hugging Face, exploring the ethics of "AI Agents"
https://huggingface.co/blog/ethics-soc-7
Our analyses found:
- There's a spectrum of "agent"-ness
- *Safety* is a key issue, leading to many other value-based concerns
Read for details & what to do next!
With @evijit , @giadap , and @sasha

yjernite

posted an update 4 months ago

Post

2415

🤗👤 💻 Speaking of AI agents ...
...Is easier with the right words ;)

My colleagues @meg @evijit @sasha and @giadap just published a wonderful blog post outlining some of the main relevant notions with their signature blend of value-informed and risk-benefits contrasting approach. Go have a read!

https://huggingface.co/blog/ethics-soc-7

alinaleidinger

authored a paper 4 months ago

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models

Paper • 2405.13974 • Published May 22, 2024 • 9

yjernite

posted an update 5 months ago

Post

2245

🇪🇺 Policy Thoughts in the EU AI Act Implementation 🇪🇺

There is a lot to like in the first draft of the EU GPAI Code of Practice, especially as regards transparency requirements. The Systemic Risks part, on the other hand, is concerning for both smaller developers and for external stakeholders.

I wrote more on this topic ahead of the next draft. TLDR: more attention to immediate large-scale risks and to collaborative solutions supported by evidence can help everyone - as long as developers disclose sufficient information about their design choices and deployment contexts.

Full blog here, based on our submitted response with @frimelle and @brunatrevelin :

https://huggingface.co/blog/yjernite/eu-draft-cop-risks#on-the-proposed-taxonomy-of-systemic-risks