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Shivam Sharma

NNEngine
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https://www.neuralflow.in.net/

AI & ML interests

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

Recent Activity

new activity about 9 hours ago
NNEngine/Reasoning-Heavy-Math-ML-Explanations:Assumptions Used in Dataset Creation
reacted to giadap's post with ❤️ about 20 hours 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 ❤️ about 20 hours 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
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