{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8196e6a6915e4619977084019bf96ed3\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8196e6a6915e4619977084019bf96ed3-014d75f9309ca925.gif","duration":240.691,"title":"Unlocking Collaborative AI: Solving Data Privacy and Trust Issues with Blockchain","description":"In this video, I discuss the significant challenges facing AI development due to data privacy issues and the monopolization of data by big tech companies. We have valuable data locked away in silos, preventing collaboration that could lead to breakthroughs in fields like healthcare and finance. I introduce a solution: integrating blockchain verification with federated learning, allowing participants to independently verify contributions and model integrity. This approach shifts the paradigm from \"trust me\" to \"verify for yourself,\" unlocking new opportunities for collaboration. I encourage viewers to consider how this technology can enhance transparency and trust in AI systems."}