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In the realm of AI's explosive growth, fueled by billions of dollars in investment, the shadow of data collection looms large. From predicting your next Netflix binge to shaping facial recognition tech, every click, swipe, and tap feeds the hungry algorithms. But amidst this data frenzy, the question remains: Can you truly control your digital footprint, or is it already woven irreversibly into the fabric of AI? #AI #DataPrivacy #TechEthics #GDPR #CCPA #HIPAA #PrivacyRights #DataProtection #Blockchain #FederatedLearning #UserEmpowerment #DigitalIdentity #ConsumerAwareness #AIInnovation #DataSecurity #TechInvestment #DigitalFootprint https://lnkd.in/eAZUk666

Remember when GDPR first hit? Companies scrambled to comply, fearing hefty fines, disruptions, etc. Now we're facing a similar paradigm shift with AI. And it's not just about compliance anymore. It's about building trust. BuyerForesight is tackling this head-on at our Emerging Tech Summit on October 3rd. Our panel focused on "Data Privacy in the Age of AI" will explore: 1. Ethical considerations in AI-driven data processing 2. Implementing privacy-preserving AI techniques 3. The role of blockchain in enhancing data privacy 4. The future of AI regulation and its impact on tech companies For tech leaders, this isn't just another conference topic. It's a roadmap for navigating the future of our industry. I've spent years advising clients on technology adoption... So, I'm excited to bring together thought leaders who will shape the future of AI governance. Because this isn't just about avoiding fines anymore. It's about creating AI systems that respect privacy by design. It's about maintaining consumer trust while pushing the boundaries of what's possible. For sponsors, this is your chance to align with cutting-edge discussions that will shape industry standards. For attendees, this is your opportunity to get ahead of the curve and position your organization as a leader in ethical AI adoption. bit.ly/49ufUKp See you in San Jose on October 3rd #AI #dataprivacy #eventmarketing

Stay ahead of the curve in the ever-evolving world of AI! This week's top stories include: := Stability Code 3B: Enhanced coding assistance with AI-powered features. := Google's new AI hub in Paris: Strategic move or insecurity? := AI network vulnerabilities: A call for stronger security measures. ️ := Fetchai & Deutsche Telekom's partnership: Merging AI and Blockchain for innovation. := AI-generated images map brain functions: Scientists unlocking the secrets of the mind. Read the full blog post for more details: https://lnkd.in/dvaDpthn #AI #ArtificialIntelligence #Technology #FutureofTech #MachineLearning #DeepLearning

How is AI reshaping our digital privacy? 🤔 Alex Page, CEO of Nillion, shared his insights on this crucial topic during our recent interview. 🔍 Alex highlighted how "blind computation" ensures privacy while allowing data analysis, keeping individual contributions secure. 🛡️ These technologies go beyond security, affecting sectors like automotive and healthcare. Imagine Tesla and Waymo collaborating without sharing proprietary data. 🚀 Alex’s vision for Nillion focuses on ethical data handling, stressing that true AI progress means deeply understanding users while safeguarding their privacy. Check out the full interview: https://lnkd.in/dXMS2_z8 #ai #blockchain #privacy #digitaltransformation #innovation #technologynews #nillion #datasecurity #futureofwork

Truly astonishing - but I'd hazard a guess that the vast majority of my network will share my initial thought... 'Can you imagine what this will be like in the hands of criminals?' Emerging technologies have always been hijacked by criminals - most recently with crypto and the blockchain. It's chilling to think of how this could be weaponised. "Hey AI Bot, help me develop some malware that will launch cyber attacks on essential services.....launder illicit assets....launch a crypto token....finance terrorism.....spread disinformation....and exploit vulnerable people....." The possibilities are endless. We can't afford to play catch up like we're currently doing around the world with many agencies only getting to grips with crypto for example. Governments need to make funds available and give law enforcement the tools and training they need to understand and combat illicit use of otherwise astonishly exciting technology - globally, not just in niche pockets. #ai #google (This post was not rewritten with AI 🤖 - maybe they'll see this and come for me one day...😅) https://lnkd.in/eehSt5PY

Listen up, cyberspace! Our AI forecasts a dip for #BNB and #SOL. On the other hand, get your mugs ready, as #Coffee might hit a low. Looking bright for #Cryptocap though – expect it to ramp up! 📉⬇️☕📈⬆️. Don't take our word for it, see for yourself ➡️ https://lnkd.in/eqXysut3 https://lnkd.in/eqXysut3

In the last post: https://lnkd.in/dgKCkZUB, we discussed fine-tuning of LLMs. Today we will be looking at one new technique RAFT. 🔎 In the context of working with LLMs, two common approaches are often used: RAG Fine-tuning Fine-tuning LLMs involves adapting the model to specific domains whereas RAG is more flexible and can continuously query external sources for up-to-date information. However, despite these approaches, certain limitations hinder LLMs from achieving optimal results. 😔 Retrieval Augmented Fine Tuning (RAFT) is a technique that optimizes LLMs for RAG on domain-specific knowledge by improving its ability to extract information from in-context documents using simple yet efficient prompts and instructions. 😮 It can fine-tune a LLM in such a way that helps it better understand and respond to queries outside its training domain, such as enterprise private documents, time-sensitive news, or recently updated software packages. 💪 Studies show that RAFT outperforms baseline models on various benchmarks, including medical document question-answering. 🚀 For even more better results, Fine-tuning LLMs for longer context and better RAG systems can be achieved by creating a custom fine-tuning dataset for long context and benchmarking popular options. 👍 P.S: What do you think is better, fine-tuning or RAG? ----------------------------------------------------------------------------------------------------- At Antematter, we are building Maximum Performance Blockchain & AI solutions by leveraging our efforts from R&D Lab. #llms #ai #genai #rag

This video was produced by Sora, OpenAI's new video generation model With videos this good, deepfakes may become a threat to any sense of online truth We need to have a way to verify authorship of who posted what and FAST In the face of AI deepfakes, blockchain might save the Internet 2 ways to do this: 1. Someone is associated with a particular wallet address and proves that they own that wallet. Platforms such as @0xHolonym can do this where you can upload an image of your government ID and a selfie and this is stored in a privacy preserving way with zero knowledge cryptography When someone posts something, they sign it with their wallet so at least we know the identity of the person sharing a piece of content 2. For images and videos, shoutout to an SF friend who worked at Scale AI who described how you could add in metadata into the cameras of every phone and other devices to have verifiable metadata showing who, when, and where images and videos were taken even before the image can be tampered with after it hits to the storage of the device

As #AI technology advances rapidly, concerns about the misuse of AI-generated content, such as #deepfakes and misinformation, are on the rise. Pending legislation, CA AB 3211, aims to address these issues by enhancing data transparency and requiring the embedding of provenance data and watermarks. Our CEO, Mrinal Manohar, explores these challenges in a recent TechRadar article, discussing #AItrust and the role of emerging technologies like #blockchain and Retrieval Augmented Generation (#RAG) in fostering transparency. https://lnkd.in/eyDDiBwP #AIGovernance #TechRadar #AITechnologies #AITransparency #AIRegulation

#AIEthics and #PublicAdministration: Insights from My Recent Interview I recently had the pleasure of being interviewed by Dr. Naikang Feng for the Saint Pierre International Security Center's series "Global Tech Policy at the Forefront: Conversations with Leading Experts." Here are some key highlights: - Discussed my work on AI ethics and normative requirements, particularly in public administration - Shared insights from projects with Algorithmic Watch and Swiss government agencies on AI impact assessment and accountability - Explained our approach to developing a comprehensive framework for guiding diverse AI applications in the public sector - Highlighted the challenges of implementing AI in government operations, including capacity gaps and the need for interdisciplinary expertise - Emphasized the importance of transparency, accountability, and responsible oversight in AI adoption These projects underscore the critical need for thoughtful AI implementation in the public sector. As we continue to navigate this complex landscape, I'm excited to contribute to the development of ethical and effective AI policies. Interested in learning more or collaborating on similar initiatives? Let's connect! #AIEthics #PublicAdministration #ResponsibleAI #TechPolicy https://lnkd.in/d858d_SU