The dream of artificial intelligence, which began with Talos in ancient Greece, became reality through ChatGP. Now is the time to predict the future direction of AI development after the singularity. Because development is a vector, understanding the inertia of change requires understanding the past. Since the advent of computers, the development of AI has been driven by a conflict between symbolism and connectionism. At the heart of this conflict lies a difference in perspective on data.
In this lecture, we will review the development of artificial intelligence from a medical statistics perspective. This will help us understand why statistical insight is essential for explainable artificial intelligence, a future hot topic.
