Yusuke Kaji

Explainable AI (XAI) tends to refer to the movement, initiatives, and efforts made in response to AI transparency and trust concerns, more than to a formal technical concept. Interpretable ML is one of the most talked-about topics in the AI domain, to convert the black-box algorithm into easy to comprehend solutions to improve adoption for real-life business problems. Interpretable ML is the degree to which a human can understand the cause of a decision. We plan to talk about some of the cutting edge algorithms in the world of Explainability. Interpretability/ during the conference, explaining the importance of this topic along with real business applications and examples.