Hugging Face's logo
Shivam Sharma's picture
1 3 1

Shivam Sharma

NNEngine
roh2's profile picture
·
https://www.neuralflow.in.net/

AI & ML interests

AIML engineer who loves building and training Neural Networks & LLMs from scratch.

Recent Activity

reacted to giadap's post with ❤️ 22 minutes ago
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
reacted to giadap's post with ❤️ 22 minutes ago
🤗 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
reacted to giadap's post with ❤️ 23 minutes ago
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
View all activity

Organizations

None yet