Aims and Scope
The aims of this special issue on Generative AI, Modeling and Simulation, Data Science, and Ethics are twofold: to advance the understanding of the interplay between these domains and to shed light on the ethical considerations associated with their integration.
Advancing Understanding: The special issue aims to bring together state-of-the-art research and insights from Generative AI, Modeling and Simulation, Data Science, and Ethics. By consolidating knowledge from these fields, the special issue seeks to foster interdisciplinary discussions and promote a comprehensive understanding of the synergies, challenges, and opportunities that arise from their convergence. It provides a platform for researchers and practitioners to share their innovative approaches, methodologies, and findings, thus advancing the theoretical foundations and practical applications within and across these domains.
Ethical Considerations: The integration of Generative AI, Modeling and Simulation, Data Science, and Ethics raises important ethical considerations. As AI technologies become more pervasive and influential, it is crucial to explore the ethical implications associated with their development, deployment, and impact on society. This special issue seeks to address issues such as bias, fairness, transparency, privacy, security, and the social and cultural impacts of AI and data science. By highlighting the ethical dimensions of these technologies and promoting responsible practices, the special issue aims to contribute to the development of guidelines, frameworks, and policies that ensure the ethical and responsible use of these technologies.
The subject of this special issue is of current interest due to several reasons:
Rapid Technological Advancements: Generative AI, Modeling and Simulation, and Data Science are evolving rapidly, enabling new capabilities and applications. The integration of these fields and tightening the theory, modelling, and experimentation cycles have the potential to revolutionize various domains, including healthcare, finance, transportation, and entertainment. However, with the increasing complexity and power of these technologies, it becomes imperative to address ethical concerns and ensure their responsible and beneficial deployment.
Ethical and Social Implications: The use of AI and data-driven technologies raises critical ethical questions. Issues such as bias in algorithms, privacy infringement, and the impact of automation on employment require careful examination. By dedicating a special issue to explore the ethical considerations in the context of Generative AI, Modeling and Simulation, and Data Science, this initiative aims to foster discussions and provide insights that can inform the development of ethical guidelines and policies.
Interdisciplinary Nature: The intersection of Generative AI, Modeling and Simulation, Data Science, and Ethics brings together expertise from various disciplines, including computer science, statistics, ethics, philosophy, and social sciences. The special issue serves as a platform for interdisciplinary collaboration, allowing researchers and practitioners from different backgrounds to exchange ideas, share perspectives, and collaborate on addressing the complex challenges that arise at the intersection of these fields.
By focusing on these aims and highlighting the current interest in the subject, this special issue aims to contribute to the advancement of knowledge, research, and practices that align Generative AI, Modeling and Simulation, Data Science, and Ethics in a responsible and impactful manner.
Lead Guest Editor
Dr. Mayank Singh
Consilio Research Lab, Estonia
Research Interests: Theory and Methodology of Modeling & Simulation, Agent-Directed Simulation, Multi-agent Systems
Guest Editors
Dr. Levent Yilmaz
Auburn University, USA
Research Interests: Modeling and Simulation, Agent-directed Simulation, Multi-agent Systems, Autonomous Systems, Complex Adaptive Systems
Dr. Tuncer Ören
University of Ottawa, Canada
Research Interests: Advancing Modeling and Simulation Methodologies, Agent-directed Simulation, Agents for Cognitive and Emotive Simulations, Machine Understanding and Computational Awareness, Reliability, Quality Assurance, Failure Avoidance and Ethics, Body of Knowledge, Terminology of Modeling and Simulation
Special Issue Information
Potential topics for submissions include but are not limited to:
Manuscript Submission Information
Submission deadline: 15 February 2024
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field. Accepted papers will be published on early access first and sent for copy editing and typesetting. Then all papers will be included in the special issue when it is published.
If you have any queries regarding the special issue or other matters, please feel free to contact the editorial office: sharon@jdsiseditorial.com / sharonlin@bonviewpress.org
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 International License.
ISSN: 2972-3841 | Published by Bon View Publishing Pte Ltd.
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