This engaging panel explores the intersection of AI and blockchain technologies, focusing on how blockchain can help address challenges of trust, verifiability, and governance in the rapidly advancing AI landscape. Experts from the fields of AI, blockchain, and decentralized technologies discuss critical topics, including:

Trust vs. Verifiability: How cryptography and blockchain can enable systems where users don't rely on blind trust but instead on verifiable facts.
Decentralization of AI: The importance of decentralized AI infrastructure for training, execution, and decision-making, ensuring transparency and reducing reliance on centralized control.
Identity for AI Agents: Challenges in creating unique, verifiable digital identities for AI agents to ensure accountability, prevent misuse, and regulate interactions between humans and machines.
Ethical Implications: Addressing risks like biased training data, misinformation, and ethical dilemmas in AI's role in societal decisions.
Global Governance: Debating whether blockchain can bridge the gap between rapid technological development and slow-moving regulation, offering a global, decentralized approach to governing AI systems.
Key speakers include:

Albert Castellana: Exploring blockchain's role in enabling trust and verifiability in AI.
Sebastian Rodriguez: Discussing decentralized identity systems for AI and humans.
Alex Puig: Highlighting trust layers and data verification for better AI models.
Vladimir Baulin: Advocating for agentic AI aligned with scientific data and ecosystems.
This session sheds light on the opportunities and challenges at the convergence of AI and blockchain, emphasizing the urgent need for collaboration, innovation, and robust governance mechanisms. A must-watch for enthusiasts of emerging technologies, digital governance, and AI ethics.

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