Responsible Artificial Intelligence addresses artificial intelligence not as a purely technical field, but as a social and ethical domain in which decisions, responsibilities and consequences must be made explicit. Virginia Dignum’s approach insists that AI systems cannot be separated from the values, institutions and human choices that shape them. Questions of autonomy, decision-making, data, algorithms and accountability are therefore not secondary concerns, but central to the design and deployment of intelligent systems. The text is useful because it shifts discussion away from abstract fears about machines replacing humans and toward the concrete conditions under which AI acts in the world: who decides, who benefits, who is exposed to risk, and who remains answerable when systems fail. Its tone is pedagogical and synthetic, but its central claim is strong: responsible AI requires governance, transparency, ethical reflection and social participation. The importance of the work lies in its refusal to treat intelligence as merely computational. Artificial intelligence becomes a public matter, inseparable from justice, trust and institutional responsibility.