02320nam a22002657a 4500 00004993 ES-MaONT 20220425102731.0 190423s2019 xxud|||fst|||i00| 0 eng d ES-MaONT Ethics guidelines for trustworthy AI : Independent High-Level Expert Group on Artificial Intelligence / set up by the European Commission Brussels : European Commission, 2019 39 p. gráf. texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier The aim of the Guidelines is to promote Trustworthy AI. Trustworthy AI has three components, which should be met throughout the system's entire life cycle: (1) it should be lawful, complying with all applicable laws and regulations (2) it should be ethical, ensuring adherence to ethical principles and values and (3) it should be robust, both from a technical and social perspective since, even with good intentions, AI systems can cause unintentional harm. Each component in itself is necessary but not sufficient for the achievement of Trustworthy AI. Ideally, all three components work in harmony and overlap in their operation. If, in practice, tensions arise between these components, society should endeavour to align them. These Guidelines set out a framework for achieving Trustworthy AI. The framework does not explicitly deal with Trustworthy AI’s first component (lawful AI). Instead, it aims to offer guidance on the second and third components: fostering and securing ethical and robust AI. Addressed to all stakeholders, these Guidelines seek to go beyond a list of ethical principles, by providing guidance on how such principles can be operationalised in socio-technical systems. Guidance is provided in three layers of abstraction, from the most abstract in Chapter I to the most concrete in Chapter III, closing with examples of opportunities and critical concerns raised by AI systems. Tecnologías habilitadoras digitales 18 Inteligencia Artificial IA Comisión Europea 999 https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai 0 Acceso al documento z INF 4993 4993 0 0 0 3 1 5732 01 01 online 2019-04-23 0 1000020175364 2019-04-23 00:00:00 2019-04-23 INF pdf