Post
344
๐ค ๐พ Thanks so much to BBC News and the stellar Suranjana Tewari for having me on to talk about US <โ> China relationship in AI, and what it means for AI ethics.
AI & ML interests
None defined yet.
Post
3937
๐๐ถ๐ฟ๐๐ ๐๐ฃ๐๐ ๐ ๐ผ๐ฑ๐ฒ๐น ๐๐ถ๐๐ต ๐๐จ ๐๐ฎ๐๐ฎ ๐ง๐ฟ๐ฎ๐ป๐๐ฝ๐ฎ๐ฟ๐ฒ๐ป๐ฐ๐ ๐ง๐ฒ๐บ๐ฝ๐น๐ฎ๐๐ฒ? ๐ช๐บ
With the release of the EU data transparency template this week, we finally got to see one of the most meaningful artifacts to come out of the AI Act implementation so far (haven't you heard? AI's all about the data! ๐๐)
The impact of the template will depend on how effectively it establishes a minimum meaningful transparency standard for companies that don't otherwise offer any transparency into their handling of e.g. personal data or (anti?-)competitive practices in commercial licensing - we'll see how those play out as new models are released after August 2nd ๐
In the meantime, I wanted to see how the template works for a fully open-source + commercially viable model, so I filled it out for the SmolLM3 - which my colleagues at Hugging Face earlier this month ๐ค ICYMI, it's fully open-source with 3B parameters and performance matching the best similar-size models (I've switched all my local apps from Qwen3 to it, you should too ๐ก)
Verdict: congrats to the European Commission AI Office for making it so straightforward! Fully open and transparent models remain a cornerstone of informed regulation and governance, but the different organizational needs of their developers aren't always properly accounted for in new regulation. In this case, it took me all of two hours to fill out and publish the template (including reading the guidelines) - so kudos for making it feasible for smaller and distributed organizations ๐ Definitely a step forward for transparency ๐
To learn more have a look at:
- The SmolLM3 model: HuggingFaceTB/SmolLM3-3B
- Its filled out Public Summary of Training Content: hfmlsoc/smollm3-eu-data-transparency
- And if you're interested, some previous remarks on regulatory minimum meaningful standards for data disclosure: https://huggingface.co/blog/yjernite/naiac-data-transparency
With the release of the EU data transparency template this week, we finally got to see one of the most meaningful artifacts to come out of the AI Act implementation so far (haven't you heard? AI's all about the data! ๐๐)
The impact of the template will depend on how effectively it establishes a minimum meaningful transparency standard for companies that don't otherwise offer any transparency into their handling of e.g. personal data or (anti?-)competitive practices in commercial licensing - we'll see how those play out as new models are released after August 2nd ๐
In the meantime, I wanted to see how the template works for a fully open-source + commercially viable model, so I filled it out for the SmolLM3 - which my colleagues at Hugging Face earlier this month ๐ค ICYMI, it's fully open-source with 3B parameters and performance matching the best similar-size models (I've switched all my local apps from Qwen3 to it, you should too ๐ก)
Verdict: congrats to the European Commission AI Office for making it so straightforward! Fully open and transparent models remain a cornerstone of informed regulation and governance, but the different organizational needs of their developers aren't always properly accounted for in new regulation. In this case, it took me all of two hours to fill out and publish the template (including reading the guidelines) - so kudos for making it feasible for smaller and distributed organizations ๐ Definitely a step forward for transparency ๐
To learn more have a look at:
- The SmolLM3 model: HuggingFaceTB/SmolLM3-3B
- Its filled out Public Summary of Training Content: hfmlsoc/smollm3-eu-data-transparency
- And if you're interested, some previous remarks on regulatory minimum meaningful standards for data disclosure: https://huggingface.co/blog/yjernite/naiac-data-transparency
Post
2066
Congrats to the top trending dataset
institutional/institutional-books-1.0 !
This is a fantastic example of large-scale curation of public domain books with intentional governance for AI research and use - definitely recommend checking it out, experimenting with the metadata ( institutional/institutional-books-1.0-metadata), and starting to build on top of it ๐ค
This is a fantastic example of large-scale curation of public domain books with intentional governance for AI research and use - definitely recommend checking it out, experimenting with the metadata ( institutional/institutional-books-1.0-metadata), and starting to build on top of it ๐ค
sashaย
updated
a
Space
2 months ago
Post
2710
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 !
Post
3376
Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on ๐ค
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 ๐๐
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 ๐
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 ๐ค
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 ๐๐
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 ๐
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 ๐ค
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
sashaย
authored
a
paper
4 months ago
megย
authored
a
paper
4 months ago
yjerniteย
authored
a
paper
5 months ago
Post
3393
๐ซ...And we're live!๐ซ 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
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
Post
2433
๐ค๐ค ๐ป 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
...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
Post
2255
๐ช๐บ Policy Thoughts in the EU AI Act Implementation ๐ช๐บ
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
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
- 2 replies
christopherย
posted
an
update
8 months ago
Post
1963
The folks at Foursquare released a dataset of 104.5 million places of interest (
foursquare/fsq-os-places) and here's all of them on a plot
-
- 4 replies
christopherย
posted
an
update
8 months ago
Post
2424
The Lichess database of games, puzzles, and engine evaluations is now on the Hub:
Lichess
Billions of chess data points to download, query, and stream and we're excited to see what you'll build with it! โ๏ธ ๐ค
- Lichess/positions-datasets-66f50837db5cd3287d60d489
- https://huggingface.co/collections/Lichess/games-datasets-66f508df78f4b43e1bb2d353
Lichess
Billions of chess data points to download, query, and stream and we're excited to see what you'll build with it! โ๏ธ ๐ค
- Lichess/positions-datasets-66f50837db5cd3287d60d489
- https://huggingface.co/collections/Lichess/games-datasets-66f508df78f4b43e1bb2d353
christopherย
posted
an
update
11 months ago
Post
1336
4 million chess puzzles
megย
authored
a
paper
about 1 year ago
yjerniteย
authored
a
paper
over 1 year ago
Post
๐ท๐ฝโโ๏ธ๐๐จ Announcing the Foundation Model Development Cheatsheet!
My first ๐คPost๐ค ever to announce the release of a fantastic collaborative resource to support model developers across the full development stack: The FM Development Cheatsheet available here: https://fmcheatsheet.org/
The cheatsheet is a growing database of the many crucial resources coming from open research and development efforts to support the responsible development of models. This new resource highlights essential yet often underutilized tools in order to make it as easy as possible for developers to adopt best practices, covering among other aspects:
๐ง๐ผโ๐คโ๐ง๐ผ data selection, curation, and governance;
๐ accurate and limitations-aware documentation;
โก energy efficiency throughout the training phase;
๐ thorough capability assessments and risk evaluations;
๐ environmentally and socially conscious deployment strategies.
We strongly encourage developers working on creating and improving models to make full use of the tools listed here, and to help keep the resource up to date by adding the resources that you yourself have developed or found useful in your own practice ๐ค
Congrats to all the participants in this effort for the release! Read more about it from:
@Shayne - https://twitter.com/ShayneRedford/status/1763215814860186005
@hails and @stellaathena - https://blog.eleuther.ai/fm-dev-cheatsheet/
@alon-albalak - http://nlp.cs.ucsb.edu/blog/a-new-guide-for-the-responsible-development-of-foundation-models.html
And also to @gabrielilharco @sayashk @kklyman @kylel @mbrauh @fauxneticien @avi-skowron @Bertievidgen Laura Weidinger, Arvind Narayanan, @VictorSanh @Davlan @percyliang Rishi Bommasani, @breakend @sasha ๐ฅ
My first ๐คPost๐ค ever to announce the release of a fantastic collaborative resource to support model developers across the full development stack: The FM Development Cheatsheet available here: https://fmcheatsheet.org/
The cheatsheet is a growing database of the many crucial resources coming from open research and development efforts to support the responsible development of models. This new resource highlights essential yet often underutilized tools in order to make it as easy as possible for developers to adopt best practices, covering among other aspects:
๐ง๐ผโ๐คโ๐ง๐ผ data selection, curation, and governance;
๐ accurate and limitations-aware documentation;
โก energy efficiency throughout the training phase;
๐ thorough capability assessments and risk evaluations;
๐ environmentally and socially conscious deployment strategies.
We strongly encourage developers working on creating and improving models to make full use of the tools listed here, and to help keep the resource up to date by adding the resources that you yourself have developed or found useful in your own practice ๐ค
Congrats to all the participants in this effort for the release! Read more about it from:
@Shayne - https://twitter.com/ShayneRedford/status/1763215814860186005
@hails and @stellaathena - https://blog.eleuther.ai/fm-dev-cheatsheet/
@alon-albalak - http://nlp.cs.ucsb.edu/blog/a-new-guide-for-the-responsible-development-of-foundation-models.html
And also to @gabrielilharco @sayashk @kklyman @kylel @mbrauh @fauxneticien @avi-skowron @Bertievidgen Laura Weidinger, Arvind Narayanan, @VictorSanh @Davlan @percyliang Rishi Bommasani, @breakend @sasha ๐ฅ
- 1 reply
yjerniteย
authored
a
paper
over 1 year ago
christopherย
authored
a
paper
over 1 year ago