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Foundations of Artificial Intelligence: Concepts, Capabilities, and Ethics

What Artificial Intelligence Is and How It Is Defined → Analyzing an AI System for Benefits, Risks, and Ethical Trade-offs

A structured introduction to artificial intelligence for learners with no prior AI background. The path begins with the historical and conceptual foundations of intelligence and computation, then builds up the core technical ideas behind modern AI: search, knowledge representation, machine learning, neural networks, and generative models. From there it moves to the human and societal layer: data and bias, fairness, transparency, accountability, privacy, safety, and the governance frameworks that shape responsible AI. The final node is a practical capability: analyzing an AI system and producing a reasoned ethical assessment. Each node is a single teachable unit, ordered so that technical understanding precedes ethical evaluation, because judging an AI system's risks requires knowing how it works.