Journal of Artificial Intelligence and AI Ethics
Journal of Artificial Intelligence and AI Ethics

Journal of Artificial Intelligence and AI Ethics 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:

  • 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 Healthcare and Precision 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
  • 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

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.