Husam Yaghi, Ph.D’s Post

In a Forbes article released today, our CEO, Gurps Rai, was quoted discussing a critical issue in AI development: data provenance and ownership. He highlighted that "Companies like #Meta and #Apple use vast amounts of our personal data to train their models today. Blockchain guarantees data security and verifiable provenance, allowing for fair compensation and ownership rights for data contributors, thus promoting the kind of fairness, quality and transparency in AI development that is critically missing in today's AI development landscape." At droppGroup, we've embraced this philosophy by developing droppLink. Our blockchain-based platform ensures that all AI training data and outputs are securely tokenized, providing comprehensive IP management and fair compensation for data contributors and creators. This approach not only addresses regulatory concerns but also empowers users by protecting their data rights. Learn more about how droppGroup is pioneering a fair and transparent future for AI with our clients such Saudi Aramco, Cisco and more at: www.droppgroup.xyz #AI #Blockchain #Web3 #droppGroup #Forbes Read the full Forbes article here: https://lnkd.in/ejXjGjbr

My experience is that the EU has historically been more aggressive about regulation of data privacy, for example, than is the case here in the USA. Regulation of AI appears to be on similar respective trajectories in these 2 markets. For my healthcare audience in North America, as the relative value of various uses of AI becomes clearer and the related interests of the healthcare enterprise become more focused, I suggest that it’s very much in the enterprise’s best interests to proactively choose a Responsible AI way forward. As is the case for many topics in healthcare that get this kind of attention, I suggest that the healthcare enterprise can choose to be the AI bug, or the AI windshield. Choose to be the windshield. Reach out to me if you’d like to chat about your AI interests and how FICO might help you to reach your Responsible AI goals. #healthcare #responsibleai #healthinsurance

#AI #EU #REGULATION: #AIregulation is happpening, folks. The #EuropeanUnion’s parliament on Wednesday approved the world’s first major set of regulatory ground rules to govern the mediatized #artificialintelligence at the forefront of tech investment. Key thought: “The #AIAct is not the end of the journey, but, rather, the starting point for a new model of #governance built around #technology." I am pleased that FICO's patented application of #blockchain for #AImodel #development and operational #governance is ready to support these formalized objectives. Onward! #ResponsibleAI https://lnkd.in/eMDVXqEu

👀 All eyes are on California’s Governor, as the state’s contentious – and, potentially, landmark – #AI legislation awaits its fate. This includes the Safe and Secure Innovation for Frontier Artificial Intelligence Models Bill (SB 1047). If enacted, SB 1047 would directly affect the largest #tech companies developing in-scope AI models, even if such models are developed outside of #California. 💡 For more on the bills and the impact on the tech industry, read our Linklaters team's latest #techinsight. Kristofer Ekdahl, Ieuan Jolly, Shruti Chopra, Caitlin Potratz Metcalf, Jennifer Calver, Elton Qemali, Linklaters Tech Linklaters Americas Wall Street Blockchain Alliance The British Blockchain Association Canadian Blockchain Consortium Wharton Cypher Accelerator Wharton BDAP

With new #AI regulations and ethical priorities proliferating at record speed, the Colorado AI Act (#CAIA) might have slipped under your radar—but it shouldn’t. Here’s everything you need to know about the most stringent US-based AI regulation on the books right now: ✅ Enterprise is everything. Consumer use is largely exempt from CAIA, which focuses instead on enterprise users with more than 50 employees. SMBs can relax—for now. ✅ Regulations chase risk, and risk follows reward. The more valuable the AI use case, the more risk it entails, and the more strictly it’s regulated by acts like CAIA. In particular, CAIA is designed to prohibit discriminatory use of AI, in areas like hiring or promotions. ✅ AI governance means data governance. CAIA hones in on a critical area of AI governance: data quality and tamper-proofing. It requires developers to offer multiparty access to training data, and to demonstrate data quality and strict data governance standards to any users of their AI systems. Recognizing that bad data can create bad AI, CAIA sets a precedent of transparency and traceability. ✅ 2023 was the year of #GenAI, but 2024 is the year of #AIgovernance — and as CAIA shows, AI trust must become a core standard to which emerging AI tools are held. Just as leading modern companies now operate with security by design, this regulation sets a new bar for organizations to create trust by design. It’s time for businesses everywhere to rise to the challenge: CAIA is only a harbinger of the future of the regulatory landscape. This month, Singapore introduced an AI governance framework focused on genAI that specifically calls out the importance of international collaboration: “The borderless nature of tech also means this must be a shared endeavor,” Singapore’s Deputy Prime Minister Heng Swee Keat said at a recent event launching the framework. If you want to learn more about AI policy and pending regulation be sure to sign up for the AI Compliance live event featuring Kay Firth-Butterfield, Shyam Nagarajan and Mrinal Manohar, tomorrow June 13th at 12:00 EST. 🗓 https://lnkd.in/gTQjmTUn

What do you think about decentralized AI? Decentralized AI is an exciting concept, merging blockchain and AI to distribute power and control. It's promising, yet challenging to execute fully. Morpheus Network and 6079 are leading the way, pushing for decentralized AI through Web3 tech. Morpheus focuses on decentralized AI smart agents, while 6079 introduces a proof-of-inference protocol (PoIP) standard for accessible AI services and trustless operations. Decentralized AI holds the potential to empower individuals, preserve their dignity, and foster knowledge exchange without constraints. However, it also raises questions about privacy, accountability, and regulatory frameworks that must be addressed for widespread adoption. https://lnkd.in/dA4zaK9C

Regulating AI Through Law And Technology: While law and regulation are needed to regulate AI, addressing the transparency-related issues around the use of technology may need the help of blockchain and quantum computing. #artificialintegllience #AI

📢 AI Legislation Update! 📢 With #Colorado's recent passage of #SB205, the first comprehensive AI legislation in the US targeting high-risk systems, the importance of #AIGovernance is more critical than ever. This new law, signed on May 17, 2024, sets a precedent for preventing algorithmic discrimination and ensuring transparency. In light of this and the AI EU legislation, join us to hear from leading #AI policy expert Kay Firth-Butterfield about establishing AI governance to meet #compliance challenges.  June 13, 2024 12:00 PM ET - 1:00 PM ET 📍 https://lnkd.in/gDbBU2u8 Don't miss out on this vital discussion. Let's ensure our AI systems are innovative, ethical, and fair. #AI #Governance #Compliance #AIRegulation #Webinar #EthicalAI

Thanks a lot to CoinDesk for having our CEO Leroy Hofer commenting on the current state of thing for DePINs and AI. 💬 Machine data has emerged as a key asset in the digital age, and bringing it on-chain is the next logical step. By tokenizing machines and making their data accessible and monetizable, we are not only fostering collective ownership but also opening new avenues for AI training and data-driven applications. So, can Machine Data change Web3? Find out here ⬇ https://lnkd.in/dGx4W88r #Teneo #DePIN #DataLayer #AI #Web3

Given its widespread use, and potential catastrophic scenarios for its misuse, much attention is being directed to governing and managing #AI, to ensure that it operates in an ethical, responsible, and trustworthy manner. Decentralization technologies like #blockchain, cryptographic proofs and #tokenization can play a key role in advancing trustworthy AI. Read the latest blog to find out more - https://lnkd.in/g-XtYDNq