npj Artificial Intelligence

Aims & Scope

npj Artificial Intelligence considers research that explores all aspects of Artificial Intelligence research and devlopement including application and implementation of these technologies. The journal considers original research articles, brief communications, comments, perspectives, and reviews. The aim of npj Artificial Intelligence is to establish itself as a premier journal that publishes transformative research in artificial intelligence, fostering an interdisciplinary community that drives innovation and addresses the ethical and societal implications of AI technologies. We seek to bridge the gap between theoretical advancements and practical applications, emphasizing the significant impact of AI across various scientific disciplines, society, and industry. The journal will spotlight groundbreaking studies that reframe classic research challenges and propose novel solutions within the AI paradigm, inspiring diverse explorations that pave the way for future AI-driven scientific inquiry. By cultivating a vibrant and inclusive platform, we aim to showcase cutting-edge progress in AI that meets the evolving needs of the scientific community while encouraging contributions that go beyond incremental improvements in existing AI models. npj Artificial Intelligence welcomes submissions that align with the following scopes: 1. Transformative AI Research - Original studies that develop novel algorithms, methodologies, or frameworks that significantly advance the field of artificial intelligence. 2. Interdisciplinary Applications - Research that explores the application of AI across diverse scientific disciplines, including but not limited to biology, medicine, environmental science, social sciences, and engineering. 3. Ethical and Societal Implications - Critical analyses addressing the ethical challenges, societal impacts, and governance of AI technologies, including issues of bias, transparency, accountability, and privacy. 4. Bridging Theory and Practice - Studies that demonstrate the practical application of theoretical advancements in AI, showcasing real-world implementations and case studies that highlight AI's impact on industry and society. 5. Reframing Research Challenges - Innovative approaches that redefine classic research problems within the AI domain, proposing new solutions and methodologies that push the boundaries of current understanding. 6. Diverse Explorations - Contributions that inspire and promote diverse explorations of AI, encouraging interdisciplinary collaboration and the integration of insights from various fields. 7. Future Directions in AI Research - Forward-looking studies that outline potential future trends, challenges, and opportunities in AI, guiding the direction of research and innovation in the field. By focusing on these areas, npj Artificial Intelligence aims to create a vibrant platform for cutting-edge research that not only advances the science of AI but also addresses the broader implications of its integration into society. The journal offers more choice to Nature Portfolio authors who are seeking a fully open-access and more inclusive platform for publishing their work. The journal is led by digital health experts who collaborate to cultivate high-quality research. As part of the npj Series, this journal focuses on fostering global partnerships with the research community and other Springer Nature journals.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification