Decentralized AI: The Future of AI is Web3

Exploring the impact of decentralization on AI, the role of smart contracts, and how to ensure fairness and transparency in decentralized AI networks.

Welcome to the latest edition of our newsletter! Decentralized AI has the potential to revolutionize the way we live and work. But what does it mean to decentralize AI, and how can we ensure that it is fair and transparent? In this newsletter, we explore these questions and more, drawing on insights from a panel of experts at the Worldwide AI & Web3 Summit.

In the panel “Web3 Tooling and Networking for Decentralized AI”, a group of experts came together to dive deep into the impact of decentralization on AI,? the role of smart contracts, and how to ensure fairness and transparency in decentralized AI networks.?

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What does decentralization mean in the context of AI?

Joshua Bate , Co-founder of DeSciWorld, introduced us to the concept of decentralization in AI. He stressed the need to decentralize data to prevent power concentration in AI models and the importance of diverse data sources. ??

Mitja Goroshevsky , CEO of Gosh, equated decentralization to the absence of a single point of control, drawing parallels with blockchain technology. He believes this approach can boost security and transparency across multiple domains, including AI. ??

The Role of Smart Contracts and Decentralized Marketplaces

@Don Gossen, Founder & CEO of Nevermined, explored the nuances of decentralization in AI, emphasizing the need to clarify the distinction between decentralization and federation. He discussed the challenges in training AI models and applying AI in various contexts and advocated for decentralized governance frameworks. Don also highlighted the role of smart contracts and decentralized marketplaces in controlling access, obtaining consent, and creating efficient transaction systems in a decentralized ecosystem.

Joshua Bate underscored the power of decentralization in the context of AI, especially when it comes to decentralizing context. He explored the potential of incentivizing data contributors retroactively through blockchain technology to ensure that the benefits of AI growth are shared among all contributors. ??

The Importance of Decentralization in AI and Ensuring Fairness and Transparency

Mitja Goroshevsky stressed the importance of true decentralization in AI, making a distinction between decentralization and federation. He discussed the need for a balance between privacy and control in a decentralized AI network. Mitja advocated for community-based approval and openness to enhance security and fairness in AI. ??

@Don Gossen shifted the focus to privacy, fairness, transparency, and accountability in a decentralized AI network. He envisioned a future where AI agents drive the demand for proper attribution and consent mechanisms, making privacy and transparency integral to the decentralized AI ecosystem.???♂?

The panel discussion at the Worldwide AI & Web3 Summit illuminated the transformational potential of decentralization in AI. Our esteemed panelists stressed the need for a nuanced understanding of decentralization, the vital role of smart contracts and decentralized marketplaces, and the importance of fairness and transparency in the evolving AI landscape. As the worlds of Web3 and AI continue to evolve, we're committed to keeping you up to date with the latest developments and discussions. ??

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Thank you for joining us on this enlightening journey through the world of decentralized AI. We look forward to bringing you more cutting-edge insights in our upcoming newsletters. Stay tuned!