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Artificial intelligence (AI) has the potential to radically transform our society. It may lead to a massive increase in the capabilities of humankind and allow us to address some of our most intractable challenges. It may also entail profound disruption to structures and processes that have sustained our society over centuries. These developments present a unique challenge to the socio-economic constitutional arrangements which govern our world at national, regional and international level. The deployment of increasingly powerful AI systems, able to function with increasing degree of autonomy, has led to concerns over loss of human control of important societal processes, over the disruption of existing economic, social and legal relationships, and over the empowerment of some societal actors at the expense of others, together with the entrenchment of situations of domination or discrimination. It has also made increasingly clear how tremendous the potential benefits, that these technologies may bring, are to those who successfully develop and deploy them. There is therefore great pressure on governments, international institutions, public authorities, civil society organisations, industry bodies and individual firms to introduce or adapt mechanisms and structures that will avoid the potentially negative outcomes of AI and achieve the positive ones. These mechanisms and structures, which have been given the umbrella term ‘AI governance', cover a wide range of approaches, from individual firms introducing ethical principles which they volunteer to abide by, to the European Union legislating an AI Act, which will prohibit certain types of AI applications and impose binding obligations on AI developers and deployers. The fast pace of innovation in the development of AI technologies is mirrored by the fast pace of development of the emerging field of AI governance, where traditional legislation by public bodies is complemented with more innovative approaches, such ashybrid and adaptive governance, ethical alignment, governance by design and the creation of regulatory sandboxes. The chapter “AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This handbook is a comprehensive, systematic source of modern nuclear physics. It aims to summarize experimental and theoretical discoveries and an understanding of unstable nuclei and their exotic structures, which were opened up by the development of radioactive ion (RI) beam in the late 1980s. The handbook comprises three major parts. In the first part, the experiments and measured facts are well organized and reviewed. The second part summarizes recognized theories to explain the experimental facts introduced in the first part. Reflecting recent synergistic progress involving both experiment and theory, the chapters both parts are mutually related. The last part focuses on cosmo-nuclear physics—one of the mainstream subjects in modern nuclear physics. Those comprehensive topics are presented concisely. Supported by introductory reviews, all chapters are designed to present their topics in a manner accessible to readers at the graduate level. The book therefore serves as a valuable source for beginners as well, helping them to learn modern nuclear physics.

This book presents select proceedings of the International Conference on Innovations in Thermo-Fluid Engineering and Sciences (ICITFES 2020). It covers topics in theoretical and experimental fluid dynamics, numerical methods in heat transfer and fluid mechanics, different modes of heat transfer, multiphase flow, fluid machinery, fluid power, refrigeration and air conditioning, and cryogenics. The book will be helpful to the researchers, scientists, and professionals working in the field of fluid mechanics and machinery, and thermal engineering.

This book features material presented at the La Rábida 2018 International Scientific Meeting on Nuclear Physics, which was based on a well-known series of triennial international summer schools on Nuclear Physics organized from 1982 to 2003 by the Basic Nuclear Physics group at the University of Seville and latter, from 2009 to 2018, by the University of Seville and the University of Huelva. The meeting offered graduate students and young researchers a broad overview of the field of nuclear physics.The book includes contributions from invited speakers on topics such as a state-of-the-art nuclear shell model and selected aspects of mass spectroscopy. Other chapters present an introduction to shell model, a review of experimental nuclear reactions, a discussion of the theory of nuclear reactions and an overview of nuclear medicine. Further, the posters and seminars presented by students offer fresh perspectives on various problems current in nuclear physics.

This thesis describes a novel and robust way of deriving a Hamiltonian of the interacting boson model based on microscopic nuclear energy density functional theory. Based on the fact that the multi-nucleon induced surface deformation of finite nucleus can be simulated by effective boson degrees of freedom, observables in the intrinsic frame, obtained from self-consistent mean-field method with a microscopic energy density functional, are mapped onto the boson analog. Thereby, the excitation spectra and the transition rates for the relevant collective states having good symmetry quantum numbers are calculated by the subsequent diagonalization of the mapped boson Hamiltonian. Because the density functional approach gives an accurate global description of nuclear bulk properties, the interacting boson model is derived for various situations of nuclear shape phenomena, including those of the exotic nuclei investigated at rare-isotope beam facilities around the world. This work provides, for the first time, crucial pieces of information about how the interacting boson model is justified and derived from nucleon degrees of freedom in a comprehensive manner.