The framework is grounded in four fundamental ethical principles: respect for human autonomy, prevention of harm, fairness, and explicability. Building on these, it defines seven key requirements that AI systems must meet: human agency and oversight, technical robustness and safety, privacy and data governance, transparency, diversity and fairness, societal and environmental well-being, and accountability.

Through both technical and non-technical measures—including privacy-by-design, explainable AI, regulation, and inclusive design—the guidelines provide a foundation for evaluating and implementing responsible AI systems. Using examples such as humanoid robots in care contexts, the presentation demonstrates how these principles can be applied in practice.

Ultimately, the European approach emphasizes that AI should enhance human capabilities, protect fundamental rights, and promote social trust and sustainability, ensuring that technological progress aligns with ethical and democratic values.