Author: Mary Carman

Humans are increasingly using artificial intelligence (AI) to inform decisions about our lives. AI is, for instance, helping to make hiring choices and offer medical diagnoses. If you were affected, you might want an explanation of why an AI system produced the decision it did. Yet AI systems are often so computationally complex that not even their designers fully know how the decisions were produced. That’s why the development of “explainable AI” (or XAI) is booming. Explainable AI includes systems that are either themselves simple enough to be fully understood by people, or that produce easily understandable explanations of other,…