About the Journal
Aim
Superintelligence Series is an international academic book series dedicated to exploring the advances, developments, and critical reflections surrounding advanced artificial intelligence, superintelligence, and their global implications. Its aim is to provide a leading platform for interdisciplinary dialogue on the technical, philosophical, ethical, and societal dimensions of systems with intelligence beyond human capabilities. The book series to foster scholarly contributions that enhance understanding of the risks, opportunities, and transformations that superintelligence may bring to science, society, and the future of humanity.
Scope
The book series welcomes original research, review articles, critical essays, case studies, and technical reports on:
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Theoretical foundations of superintelligence: Formal models, simulations, and epistemological approaches that contribute to understanding the evolution toward higher-level intelligence.
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Advanced Machine Learning and AGI (Artificial General Intelligence): Development of algorithms, architectures, and approaches directed toward general and emergent intelligence.
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Philosophy, ethics, and governance of superintelligence: Analyses of ethical dilemmas, safety, goal alignment, global regulation, and future scenarios.
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Computational neuroscience and artificial cognition: Research linking insights from human and animal cognition to the design of superintelligent systems.
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Social, economic, and political impact: Studies on the role of superintelligence in the future of work, geopolitics, education, economics, and culture.
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Existential risks and human resilience: Investigations into potential catastrophic scenarios, risk mitigation strategies, and human adaptation to superintelligent systems.
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Innovation and technological foresight: Explorations of disruptive applications, human–machine hybrid systems, and emerging technologies associated with superintelligence.
Visibility and Open Access:
The book series adheres to an open access model to maximize the visibility and accessibility of the work published, ensuring that the contributions have a global reach and a significant impact.
Frequency of Publication:
The book series operates on a continuous publication model, where articles are published as soon as they are ready, ensuring timely dissemination of the latest research and developments in AI.
Speed of Publication:
The book series manages the following times of the editorial process: 10 days for the first response from the section editor or pass to peer review; 30 to 45 days responses from the editor on the observations of peer reviewers; 20 days in layout, metadata uploading and publication on the book series site.
The editorial team combines rigorous peer review with the efficient timing of the editorial process, which is done exclusively in electronic format.
Promotion and Dissemination Strategy:
The book series employs a robust strategy for promoting and disseminating articles through various digital platforms and social media to enhance the reach and impact of the research published.
Financial Support
This site is financially supported by AG Editor, as part of its commitment to the dissemination of knowledge and editorial production in the region.