Bridging the Gap Between AI and UI

Explore methods for understanding model predictions and input feature reliance in AI during this 20-minute conference talk. Gain insights into the relationship between model inputs and outputs, with a focus on recent efforts to comprehend neural networks and document vectors. Review techniques for interpreting recurrent neural networks (RNNs) in natural language processing (NLP). Discover novel ideas for incorporating visualization methods into products to enhance user experience and retention. Learn how to bridge the gap between artificial intelligence and user interface design, presented by Liad Magen at the WeAreDevelopers conference.

Bridging the gap between AI and UI | Liad Magen