Learning About Explainable AI with Very Little Programming
摘要
Teaching students about explainable AI is emerging as a critical topic for industry readiness, but doing so is difficult. This is because it contains a vast array of concepts, each of which may be new to students. In this chapter, we will go through the strategies we have honed to make this course accessible to fledgling data scientists. Along the way, we try to make very few assumptions about programming ability, mathematical knowledge, or human-computer interaction experience in an effort to provide a broadly accessible course.