How Does Understanding Of AI Shape Perceptions Of XAI?

One of the biggest challenges of machine learning and artificial intelligence is their inability to explain their decision to the users. This black box in AI renders the system largely impenetrable, making it difficult for scientists and researchers to understand why a certain system is behaving the way it is. In recent years, a new branch of explainable AI (XAI) has emerged, which the researchers are actively pursuing to establish user-friendly AI. That said, how AI explanations are perceived is highly dependent on a person's background in AI. A new study named "The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations", argues that AI background influences each group's interpretations and that these differences exist through the lens of appropriation and cognitive heuristics.