Journal of Artificial Intelligence and AI Ethics (ISSN: 3142-8223)
Open Access | DOI: 10.64978/JAIAE
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Journal of Artificial Intelligence and AI Ethics (ISSN: 3142-8223)

Journal of Artificial Intelligence and AI Ethics (ISSN: 3142-8223) is a peer-reviewed journal dedicated to advancing the fields of artificial intelligence (AI) and AI ethics. We focus on publishing cutting-edge research that explores the technological, ethical, and societal implications of AI systems. Our goal is to provide a platform for interdisciplinary dialogue and innovation in the rapidly evolving landscape of AI, addressing both the technical advancements and the critical ethical considerations associated with them.

Aim

The primary aim of Journal of Artificial Intelligence and AI Ethics (JAIAE) is to foster interdisciplinary dialogue and collaboration between researchers, practitioners, policymakers, and ethicists. By providing a space for rigorous academic inquiry and practical insights, JAIAE seeks to advance the field of artificial intelligence while ensuring that ethical considerations are at the forefront of technological development. We are committed to publishing quality research that addresses both the technical aspects of AI and the ethical dimensions of its impact on society.

Scope

The journal covers a wide range of topics, including but not limited to:

  • Agentic AI and Autonomous Systems
  • Retrieval-Augmented Generation (RAG) and Knowledge Systems
  • Advanced AI Algorithms and Technologies
  • AI Technology and Innovation
  • Machine Learning
  • Deep Learning
  • Quantum AI and High-Level Machine Learning
  • Natural Language Processing (NLP)
  • Foundation Models and Large Language Models (LLMs)
  • Generative AI (Text, Image, Audio, Video)
  • Reinforcement Learning (RL) and RLHF
  • Explainable AI (XAI)
  • Embodied AI and Robotics
  • Robotics and Autonomous Systems
  • Multimodal AI
  • AI in medical science
  • AI in Healthcare and Precision Medicine
  • Digital health systems
  • Public health AI
  • Clinical ethics
  • AI in bioethics and data governance
  • Clinical AI systems
  • Clinical decision systems
  • AI in Biomedical informatics
  • AI in biomedical engineering
  • Medical imaging AI
  • AI in Medical informatics
  • Digital health and bioethics
  • AI in diagnostics, imaging, robotics, and personalized medicine
  • Robotics in surgery
  • Legal and societal implications in medicine
  • Computational Intelligence
  • Human-AI Interaction
  • Cognitive Science of AI
  • Cognitive Architecture
  • Neurocognitive Modelling and Brain Imaging
  • Neurosymbolic AI
  • Theoretical Foundations of AI
  • Computer Vision
  • Ethical Implications of AI
  • AI Governance and Policy
  • Social Impact of AI
  • AI Case Studies and Applications
  • Theoretical and Philosophical Perspectives in AI
  • AI Bias and Fairness
  • AI for Autonomous and Connected Vehicles
  • AI Governance, Standards, and Policy for Intelligent Transportation System
  • Safety Assurance, Validation, and Certification of AI-Based Transportation System
  • Trustworthy, Explainable, and Human-Centered AI for Transportation   
  • Human-AI Interaction and User Experience
  • Privacy, Security, and Transparency in AI Systems
  • AI in Decision-Making and Bias Mitigation
  • Ethical Frameworks and Guidelines for AI Development
  • Future Directions in AI Ethics
  • AI in Industry and Commerce
  • Data Science
  • Big Data and Data Mining
  • AI in Business and Industry
  • AI Hardware and Architectures
  • AI and Emerging Technologies
  • AI Education and Workforce Development
  • AI in Insurance and Financial Services
  • AI in Rural Development and Cultural Preservation
  • AI Techniques and Methodologies
  • Program Synthesis and AI for Software Engineering
  • AI and Blockchain
  • Chat GPT and DeepSeek Models
  • Urban Computing and AI for Smart Cities
  • AI for Smart Manufacturing (Industry 4.0)
  • Digital Humans and AI Avatars
  • Green AI

JAIAE welcomes original research articles, review papers, case studies, and opinion pieces that contribute to a deeper understanding of the intersection between AI technology and ethical principles. Through rigorous peer review and a commitment to academic excellence, we aim to provide valuable insights that drive the responsible advancement of artificial intelligence.

AUTHOR TESTIMONIALS

Trusted by Researchers

Experiences from authors who have published with SCIVOLVE.

Dr. Dina Veksler

Dr. Dina Veksler

Independent Researcher, USA.

I had a very positive experience working with the Journal of Case Reports and Reviews in Medicine. The publication process was quick and well organized, every step was clearly explained, and the editorial team was always responsive and helpful.

Petro Kondratenko

Prof. Petro O. Kondratenko

Department of General and Applied Physics, Ukraine.

I really enjoyed communicating with the editorial staff. The editorial team provided clear and efficient communication throughout the process. The manuscript submission process was straightforward, and the editorial team made it easy to address the necessary corrections. I appreciated the professional, patient, and supportive approach of the editorial staff, which has encouraged me to consider publishing my future work.

Dr. Marina Gabrielle Epstein

Dr. Marina Gabrielle Epstein

General Surgeon, Brazil.

I had an excellent experience publishing my manuscript with the journal. The communication with the editorial team was clear, professional, and efficient throughout the entire publication process. I truly appreciated their support and responsiveness.

Prof. Daniel Morgan

Prof. Daniel Morgan

Engineering & Technology

The journal team handled the manuscript carefully and maintained clear communication throughout the editorial process. It was a positive experience publishing our research with SCIVOLVE.

Dr. Laura Bennett

Laura Bennett

Senior Researcher, Life Sciences

From submission to final publication, the process was organized and easy to follow. The editorial communication made the overall experience straightforward and professional.