One of the hardest challenges in AI safety is finding the right balance: how do we protect people from harm without undermining their agency? This tension is especially visible in conversational systems, where safeguards can sometimes feel more paternalistic than supportive.
text
One of the hardest challenges in AI safety is finding the right balance: how do we protect people from harm without undermining their agency? This tension is especially visible in conversational systems, where safeguards can sometimes feel more paternalistic than supportive.
new_line
new_line
In my latest piece for Hugging Face, I argue that open source and community-driven approaches offer a promising (though not exclusive) way forward.
text
In my latest piece for Hugging Face, I argue that open source and community-driven approaches offer a promising (though not exclusive) way forward.
new_line
new_line
✨ Transparency can make safety mechanisms into learning opportunities.
text
✨ Transparency can make safety mechanisms into learning opportunities.
new_line
✨ Collaboration with diverse communities makes safeguards more relevant across contexts.
text
✨ Collaboration with diverse communities makes safeguards more relevant across contexts.
new_line
✨ Iteration in the open lets protections evolve rather than freeze into rigid, one-size-fits-all rules.
text
✨ Iteration in the open lets protections evolve rather than freeze into rigid, one-size-fits-all rules.
new_line
new_line
Of course, this isn’t a silver bullet. Top-down safety measures will still be necessary in some cases. But if we only rely on corporate control, we risk building systems that are safe at the expense of trust and autonomy.
text
Of course, this isn’t a silver bullet. Top-down safety measures will still be necessary in some cases. But if we only rely on corporate control, we risk building systems that are safe at the expense of trust and autonomy.
new_line
new_line
Read the blog post here: 
text
Read the blog post here: 
https://huggingface.co/blog/giadap/preserving-agency
https://huggingface.co/blog/giadap/preserving-agency
link
One of the hardest challenges in AI safety is finding the right balance: how do we protect people from harm without undermining their agency? This tension is especially visible in conversational systems, where safeguards can sometimes feel more paternalistic than supportive.

In my latest piece for Hugging Face, I argue that open source and community-driven approaches offer a promising (though not exclusive) way forward.

✨ Transparency can make safety mechanisms into learning opportunities.
✨ Collaboration with diverse communities makes safeguards more relevant across contexts.
✨ Iteration in the open lets protections evolve rather than freeze into rigid, one-size-fits-all rules.

Of course, this isn’t a silver bullet. Top-down safety measures will still be necessary in some cases. But if we only rely on corporate control, we risk building systems that are safe at the expense of trust and autonomy.

Read the blog post here: https://huggingface.co/blog/giadap/preserving-agency
❤️
yjernite Clock070303 Hayatullah1994 jeffboudier Pomni inflatebot echos-keeper Lewdiculous m32pinto sometimesanotion alijawad John6666 pierrci NNEngine
👍
ZennyKenny ross-dev inflatebot Canzy m32pinto sometimesanotion alijawad yahia9030 wrzosu86 yjernite LeereNix
68daddff28299e373092ea63
/avatars/b1dee40e6156d9f81327654259d0a197.svg
Hayatullah Karimi
Hayatullah1994
user
64f6ea4b5afaa9688670480e
https://cdn-avatars.huggingface.co/v1/production/uploads/64f6ea4b5afaa9688670480e/U6a9KpThYyZsu6QnDbVJy.jpeg
Andrei Ross
ross-dev
user
67786db89328893864293f2c
/avatars/c55456cdc881b9f0f32bf68c16e5e821.svg
Andy M.
Andyx1976
user
63854c1eb2906edaf838fc00
/avatars/94f9abc23f1b04aa11c938224998c0e9.svg
hushicho
hushicho
user
674ff013006a1afa87c680f3
https://cdn-avatars.huggingface.co/v1/production/uploads/674ff013006a1afa87c680f3/A1wY7pLrQtX0zn5Z7oLKD.png
Canz
Canzy
user