Why We Need AI That Explains Itself

One of the hottest new trends in software could be artificial intelligence (AI) which explains how it accomplishes its results. Explainable AI is paying off as software companies try to make AI more understandable. LinkedIn recently increased its subscription revenue after using AI that predicted clients at risk of canceling and described how it arrived at its conclusions. "Explainable AI is about being able to trust the output as well as understand how the machine got there," Travis Nixon, the CEO of SynerAI and Chief Data Science, Financial Services at Microsoft, told Lifewire in an email interview. "'How?' is a question posed to many AI systems, especially when decisions are made or outputs are produced that aren't ideal," Nixon added.