Taxonomy of pathways to dangerous artificial intelligence

In order to properly handle a dangerous Artificially Intelligent (AI) system it is important to understand how the system came to be in such a state. In popular culture (science fiction movies/books) AIs/Robots became self-aware and as a result rebel against humanity and decide to destroy it. While it is one possible scenario, it is probably the least likely path to appearance of dangerous AI. In this work, we survey, classify and analyze a number of circumstances, which might lead to arrival of malicious AI. To the best of our knowledge, this is the first attempt to systematically classify types of pathways leading to malevolent AI. Previous relevant work either surveyed specific goals/meta-rules which might lead to malevolent behavior in Als (Özkural 2014) or reviewed specific undesirable behaviors AGIs can exhibit at different stages of its development (Turchin July 10 2015a, Turchin July 10, 2015b)

State of the Art and Future Perspectives in Smart and Sustainable Urban Development

This book contributes to the conceptual and practical knowledge pools in order to improve the research and practice on smart and sustainable urban development by presenting an informed understanding of the subject to scholars, policymakers, and practitioners. This book presents contributions—in the form of research articles, literature reviews, case reports, and short communications—offering insights into the smart and sustainable urban development by conducting in-depth conceptual debates, detailed case study descriptions, thorough empirical investigations, systematic literature reviews, or forecasting analyses. This way, the book forms a repository of relevant information, material, and knowledge to support research, policymaking, practice, and the transferability of experiences to address urbanization and other planetary challenges

The Ethical Spirit of EU Values

This open access book, summarising the research conducted at this Jean Monnet Chair, seeks to identify the ethical spirit of European Union (EU) values. EU integration began at the economic level; human rights were only added at a later stage. Finally, the Lisbon Treaty turned the EU into a ‘Union of values’ by enshrining certain concepts in Art 2 TEU. This provision can be seen as a hub linked to various other provisions of EU primary and secondary law. The values contained therein have, amongst others, been applied to two areas (digitalisation and non-financial reporting, partly in sports), and further specified in others (health and partly in sports). This book analyses the evolution of values (ratione temporis) and the questions of who is entitled and who is obliged (ratione personae). Besides the external perspective (ratione limitis; e.g., Brexit), it focuses on the composition of the EU’s common values (ratione materiae). As Art 2 TEU can be viewed as a hub, it is essential to focus on various relations, not only between values, but also between values and other provisions of EU law, as well as other concepts. Based on this description of the status quo, the book subsequently addresses a possible future direction, arguing for an additional narrative (trust), an additional value (environmental protection), and a more communitarian Union. In closing, apart from the classical commitment of the EU and the Member States to uphold the values of the EU, the book discusses the level of individuals and values as virtues. Various figures and tables complement this overview of the status quo of the Union of values and outline of its future direction

On Controllability of Artificial Intelligence

Invention of artificial general intelligence is predicted to cause a shift in the trajectory of human civilization. In order to reap the benefits and avoid pitfalls of such powerful technology it is important to be able to control it. However, possibility of controlling artificial general intelligence and its more advanced version, superintelligence, has not been formally established. In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI can’t be fully controlled. Consequences of uncontrollability of AI are discussed with respect to future of humanity and research on AI, and AI safety and security. This paper can serve as a comprehensive reference for the topic of uncontrollability

The Ethical Spirit of EU Values

This open access book, summarising the research conducted at this Jean Monnet Chair, seeks to identify the ethical spirit of European Union (EU) values. EU integration began at the economic level; human rights were only added at a later stage. Finally, the Lisbon Treaty turned the EU into a ‘Union of values’ by enshrining certain concepts in Art 2 TEU. This provision can be seen as a hub linked to various other provisions of EU primary and secondary law. The values contained therein have, amongst others, been applied to two areas (digitalisation and non-financial reporting, partly in sports), and further specified in others (health and partly in sports). This book analyses the evolution of values (ratione temporis) and the questions of who is entitled and who is obliged (ratione personae). Besides the external perspective (ratione limitis; e.g., Brexit), it focuses on the composition of the EU’s common values (ratione materiae). As Art 2 TEU can be viewed as a hub, it is essential to focus on various relations, not only between values, but also between values and other provisions of EU law, as well as other concepts. Based on this description of the status quo, the book subsequently addresses a possible future direction, arguing for an additional narrative (trust), an additional value (environmental protection), and a more communitarian Union. In closing, apart from the classical commitment of the EU and the Member States to uphold the values of the EU, the book discusses the level of individuals and values as virtues. Various figures and tables complement this overview of the status quo of the Union of values and outline of its future direction

AI Risk Denialism

In this work, we survey skepticism regarding AI risk and show parallels with other types of scientific skepticism. We start by classifying different types of AI Risk skepticism and analyze their root causes. We conclude by suggesting some intervention approaches, which may be successful in reducing AI risk skepticism, at least amongst artificial intelligence researchers