imprecise-dynamic-emergent-ai

Chapter 3 traces the evolution of artificial intelligence from its origins with the Turing test and early rule-based systems to the modern era of machine learning and neural networks. It highlights the shift from encoding explicit human knowledge to enabling machines to learn from data, overcoming prior limitations in tasks like visual recognition and language translation. The chapter also discusses the revolutionary qualities of AI such as imprecision, dynamism, emergence, and learning capacity, illustrating these with examples like AlphaZero and AI-driven drug discovery.