Beyond AI's Boom-Bust Cycle

The article discusses the repeated boom-and-bust cycles of Artificial Intelligence (AI) since its inception and how these cycles can be avoided. It highlights that AI research has often underestimated the complexity of human intelligence, leading to overconfidence and unrealistic promises. Furthermore, dominant schools of thought have sometimes overshadowed exploration beyond what was in fashion, causing idea entrenchment. The article also discusses the role of government funding in these cycles and suggests that AI students, researchers, and business leaders can help avoid future winters by focusing on testing, communication, interdisciplinary knowledge, and remaining open to novel paradigm shifts.