🔍 Explaining the Unseen: Unraveling the Secrets of AI Transparency! 🤖
Ever wondered what makes a good explanation in the realm of AI? 🤔 AI often seems like a black box, but fret not, as the realm of explainable AI (XAI) offers us a glimpse into the inner workings of AI models.
You've probably heard of LIME and SHAP, two prominent techniques that shed light on the most influential features in AI predictions. But here's the real question: How do we gauge the quality, relevance, and meaningfulness of these explanations?
A few months back, the brilliant minds at Co-12 Properties unveiled "twelve desirable properties for explanation quality." 📈 These properties go beyond a single metric, encompassing content, presentation, and user-centric aspects.
Kudos to co-author Christin Seifert for crafting a fantastic visualization of the Co-12 properties, making it a must-share! 🤩
Curious to dive deeper into this fascinating world of AI explainability? 🚀 Explore the open-access paper at https://lnkd.in/eGmvu_Mx and join us in demystifying the AI enigma. 🌐 #AI #ExplainableAI #Transparency #Co12Properties #Innovation
Found fettuccine lady at a store today