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Explainable AI for Enterprise Systems Benny Cheung - Senior Technical Architect at Jonah Group Even with the great accuracy and precision of recent Deep Learning techniques, many enterprises are hesitant to deploy such solutions because of the lack of explainability when it comes to the results. They are responsible for many regulations that are designed to protect human rights and fairness. Without an explainable result, they have a hard time to justify their use in reality. Since the goal of Explainable AI (XAI) is an important AI's system feature envisioned by the early pioneers, we should not be blind sighted simply by the success of recent applications of Deep Learning. This presentation will discuss the rationality and techniques of explanation in a humanly understandable form.