About the Journal
Aim and Scope:
Contemporary Issues in Artificial Intelligence is a prestigious, peer-reviewed journal with a focus on critically exploring general issues that are common across various domains of Artificial Intelligence (AI). This journal is dedicated to fostering interdisciplinary research and collaboration, offering a platform for the discussion of universal AI themes. By publishing a diverse range of high-quality articles, it sheds light on the broad, multifaceted issues that underpin AI and its interconnected fields. Adhering to open access principles, the journal ensures these insights are available globally, significantly contributing to the ongoing discourse in AI.
The journal focuses on soliciting original research articles, reviews, and perspectives that contribute to the understanding and resolution of contemporary issues in AI, including but not limited to:
- General AI Ethics and Governance: Exploring broad ethical implications, governance structures, and policy frameworks in AI, focusing on bias, transparency, and accountability.
- AI and Public Policy: Investigating AI's influence on and interaction with public policy making.
- Interpretability and Transparency in AI: Addressing the need for interpretable and transparent AI decision-making processes.
- Socio-economic Impacts of AI: Examining AI's wider socio-economic consequences, including automation and economic shifts.
- AI in Global Perspective: Discussing AI's global impact, applications, and cultural considerations.
- AI in Climate Change and Sustainability: Investigating AI's role in climate modeling, renewable energy optimization, and sustainability practices.
- AI in Cultural Analytics: Exploring how AI can be used in the analysis and preservation of cultural heritage, arts, and digital humanities.
- AI in Retail and Consumer Behavior: Examining AI's impact on retail, from customer behavior analysis to supply chain optimization and personalized shopping experiences.
- AI in Legal and Ethical Compliance: Addressing AI's role in legal analytics, compliance monitoring, and ethical decision-making systems.
Contemporary Issues in Artificial Intelligence encourages the submission of high-quality research that addresses the latest challenges, advancements, and ethical considerations in AI and its interdisciplinary applications. The journal promotes rigorous scientific inquiry, fosters critical discussions, and contributes to the responsible and inclusive development and deployment of AI technology.
The journal aims to serve as a platform for researchers, practitioners, and policymakers to exchange ideas, share insights, and disseminate knowledge on contemporary issues in artificial intelligence. By highlighting the challenges and advancements in AI, the journal aims to contribute to the broader understanding and development of AI technology for the betterment of society.
Open Access
Contemporary Issues in Artificial Intelligence is an open access journal, ensuring that all articles are freely accessible for reading and reuse as soon as they are published. Details on our open access policies and guidelines are available on the journal's Open Access Policy page.
Continuous Article Publishing (CAP):
Embracing the Continuous Article Publishing (CAP) model, the journal ensures the swift publication of articles upon acceptance, bypassing the need for assembling issues. This approach not only accelerates the dissemination of critical research findings but also facilitates immediate access and citation opportunities, aligning with our open access commitment. CAP underscores our dedication to making AI research as current and impactful as possible, providing the academic and professional communities with ongoing, timely access to important work in the field.
Frequency of Publication:
Contemporary Issues in Artificial Intelligence combines the CAP model with an annual volume compilation. Throughout the year, articles are published as soon as they have undergone the rigorous peer review process and are ready for dissemination, ensuring timely access to the latest research findings. This continuous publication model allows for the immediate visibility and citation of articles, aligning with our dedication to fostering rapid and open access to knowledge.
At the end of each year, the journal compiles these articles into a single volume, marking an annual milestone in the journal's contribution to the field of Artificial Intelligence. This hybrid approach enables us to maintain the benefits of continuous article publishing—such as faster dissemination and enhanced accessibility—while also offering an annual volume that encapsulates the year’s advancements and discussions for archival and citation purposes.
Bibliographic information
ISSN: request pending (Online)
DOI: https://doi.org/10.69635/ciai