yjernite/spaces-privacy-reports
Updated
•
246
Yacine Jernite
yjernite
AI & ML interests
Technical, community, and regulatory tools of AI governance @HuggingFace
Recent Activity
updated
a dataset
3 days ago
yjernite/spaces-privacy-reports
upvoted
an
article
3 days ago
Tiny Agents: a MCP-powered agent in 50 lines of code
upvoted
a
collection
4 days ago
OpenMathReasoning
Organizations
yjernite's activity
updated
a
dataset
3 days ago
upvoted
an
article
3 days ago
Article
Tiny Agents: a MCP-powered agent in 50 lines of code
•
149
upvoted
a
collection
4 days ago
updated
a
Space
5 days ago
published
a
Space
5 days ago
reacted to
clem's
post with ❤️🔥
5 days ago
Post
3763
Energy is a massive constraint for AI but do you even know what energy your chatGPT convos are using?
We're trying to change this by releasing ChatUI-energy, the first interface where you see in real-time what energy your AI conversations consume. Great work from @jdelavande powered by spaces & TGI, available for a dozen of open-source models like Llama, Mistral, Qwen, Gemma and more.
jdelavande/chat-ui-energy
Should all chat interfaces have this? Just like ingredients have to be shown on products you buy, we need more transparency in AI for users!
We're trying to change this by releasing ChatUI-energy, the first interface where you see in real-time what energy your AI conversations consume. Great work from @jdelavande powered by spaces & TGI, available for a dozen of open-source models like Llama, Mistral, Qwen, Gemma and more.
jdelavande/chat-ui-energy
Should all chat interfaces have this? Just like ingredients have to be shown on products you buy, we need more transparency in AI for users!
- 3 replies
reacted to
meg's
post with ❤️🔥
5 days ago
Post
2235
New launch: See the energy use of chatbot conversations, in real time. =)
jdelavande/chat-ui-energy
Great work from @JulienDelavande !
jdelavande/chat-ui-energy
Great work from @JulienDelavande !
liked
2
datasets
6 days ago
liked
a
Space
6 days ago
upvoted
an
article
11 days ago
Article
Consent by Design: Approaches to User Data in Open AI Ecosystems
By
and 1 other
•
•
12
published
an
article
11 days ago
Article
Consent by Design: Approaches to User Data in Open AI Ecosystems
By
and 1 other
•
•
12
posted
an
update
12 days ago
Post
3118
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
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
updated
a
Space
12 days ago
liked
a
dataset
12 days ago
updated
a
dataset
12 days ago
upvoted
a
paper
12 days ago
updated
a
dataset
12 days ago