19 research outputs found

    Cybersecurity of Digital Service Chains

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    This open access book presents the main scientific results from the H2020 GUARD project. The GUARD project aims at filling the current technological gap between software management paradigms and cybersecurity models, the latter still lacking orchestration and agility to effectively address the dynamicity of the former. This book provides a comprehensive review of the main concepts, architectures, algorithms, and non-technical aspects developed during three years of investigation; the description of the Smart Mobility use case developed at the end of the project gives a practical example of how the GUARD platform and related technologies can be deployed in practical scenarios. We expect the book to be interesting for the broad group of researchers, engineers, and professionals daily experiencing the inadequacy of outdated cybersecurity models for modern computing environments and cyber-physical systems

    Against remediation

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    xxAI - Beyond Explainable AI

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    This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed. After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science

    Digital work in the planetary market

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    Many of the world’s most valuable companies rely on planetary networks of digital work that underpin their products and services. This important book examines implications for both work and workers when jobs are commodified and traded beyond local labor markets. For instance, Amazon’s contractors in Costa Rica, India, and Romania are paid to structure, annotate, and organize conversations captured by ‘Alexa’ to train Amazon’s speech recognition systems. Findings show that despite its planetary connections, labor remains geographically “sticky” and embedded in distinct contexts. The research emphasizes the globe-spanning nature of contemporary networks without resorting to an understanding of “the global” as a place beyond space.Aujourd’hui, de nombreux emplois peuvent ĂȘtre exercĂ©s depuis n’importe oĂč. La technologie numĂ©rique et la connectivitĂ© Internet gĂ©nĂ©ralisĂ©e permettent Ă  presque n’importe qui, n’importe oĂč, de se connecter Ă  n’importe qui d’autre pour communiquer et interagir Ă  l’échelle planĂ©taire. Ce livre examine les consĂ©quences, tant pour le travail que pour les travailleurs, de la marchandisation et de l’échange des emplois au-delĂ  des marchĂ©s du travail locaux. Allant au-delĂ  du discours habituel sur la mondialisation « le monde est plat », les contributeurs examinent Ă  la fois la transformation du travail lui-mĂȘme et les systĂšmes, rĂ©seaux et processus plus larges qui permettent le travail numĂ©rique dans un marchĂ© planĂ©taire, en offrant des perspectives empiriques et thĂ©oriques. Les contributeurs - des universitaires et des experts de premier plan issus de diverses disciplines - abordent une variĂ©tĂ© de questions, notamment la modĂ©ration du contenu, les vĂ©hicules autonomes et les assistants vocaux. Ils se penchent d’abord sur la nouvelle expĂ©rience du travail et constatent que, malgrĂ© ses connexions planĂ©taires, le travail reste gĂ©ographiquement collĂ© et intĂ©grĂ© dans des contextes distincts. Ils examinent ensuite comment les rĂ©seaux planĂ©taires de travail peuvent ĂȘtre cartographiĂ©s et problĂ©matisĂ©s, ils discutent de la multiplicitĂ© productive et de l’interdisciplinaritĂ© de la rĂ©flexion sur le travail numĂ©rique et ses rĂ©seaux et, enfin, ils imaginent comment le travail planĂ©taire pourrait ĂȘtre rĂ©glementĂ©. Les directeurs Mark Graham est professeur de gĂ©ographie de l’Internet Ă  l’Oxford Internet Institute et chargĂ© de cours Ă  l’Alan Turing Institute. Il est l’éditeur du livre Digital Economies at Global Margins (MIT Press et CRDI, 2019). Fabian Ferrari est un candidat au doctorat Ă  l’Oxford Internet Institute
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