{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4c77eb5db3ae471cabe830bc2fc91ce9\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/4c77eb5db3ae471cabe830bc2fc91ce9-7f0144c2dc3f3dba.gif","duration":121.0871,"title":"Ensuring AI Accountability Through Transparency and Trust 🌐","description":"In this video, I introduce Truth Trace, a full stack blockchain platform designed to enhance transparency, trust, and accountability in AI decision-making. We address the critical issue of AI decisions lacking an audit trail, which can lead to unfair outcomes in areas like finance, healthcare, and criminal justice. Our platform logs every AI decision on-chain, allowing users to dispute biased or incorrect outcomes through community voting, while also providing human-readable explanations for AI actions. I invite you to connect with my site and explore how we can work together to promote AI accountability. Thank you for your attention."}