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“If AI agents are going to act on our behalf, they need trusted memory: verifiable data, global identifiers, and clear provenance.” Jurij Skornik on OriginTrail & GS1 enabling AI agents to reason over trusted knowledge, not guesswork. 🤝 01:25 The shift from attention to intention economy 03:51 How AI...

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OriginTrail

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10,544 次观看 • 6 个月前 •via X (Twitter)

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AI can deliver real value in healthcare only if it is trusted. In this talk, Dr. Kim Wager of Oxford PharmaGenesis explains why medical AI must rely on connected, verifiable knowledge – making healthcare AI more transparent & accountable. 🧬 01:22 – Fixing medical data foundations 05:29 – Trust gap in medical AI 11:33 – Why verifiable knowledge matters 14:03 – Neuro-symbolic AI explained 17:01 – Live demo: OriginTrail DKG enabling full data provenance
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🧬A trust layer for genomic AI powered by OriginTrail, has been implemented under the ELSA - European Lighthouse on Secure and Safe AI funded by the EU. Trace Labs - Trusted Context for AI Agents's Jurij Skornik demonstrated it in action ↯ 00:00 - Introduction 00:30 - Key challenges in decentralized science 00:46 - Decentralized Knowledge Graph power 01:35 - How an AI agent can assess Alzheimer’s risk 02:32 - Working with private patient data 03:50 - Solution in action: Personal healthcare AI agent
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