What A.I. transparency is and how it relates to Explainable A.I. (XAI)
From the "655: AI ROI: How to get a profitable return on an AI-project investment" in which Pandata’s Data Scientist in Residence Keith McCormick and @JonKrohnLearns discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients.
Watch, listen to, or read the full episode at https://www.superdatascience.com/655