This lecture examines the impact of artificial intelligence (AI) in higher education from an ethical and responsible use perspective. It argues that AI is not a new phenomenon, but its recent popularisation—particularly through large language models—demands a clear educational and institutional response. The risks of anthropomorphising AI tools, technological over-reliance, loss of critical thinking, and environmental and social unsustainability are discussed. At the same time, benefits such as creative exploration, multiplication of pedagogical examples, and error detection are acknowledged. The lecture proposes a responsible AI model built around seven principles—transparency, fairness, accountability, security, privacy, autonomy, and sustainability—and presents an evaluation tool developed by the Ethics in Artificial Intelligence Observatory of Catalonia to help institutions assess and improve their ethical use of AI. Keywords: artificial intelligence, ethics, transparency, higher education, responsibility, sustainability, critical thinking, large language models, digital literacy, responsible AI