About the Journal

Journal of Green AI (Green AI) is a scholarly journal focusing on the development and application of artificial intelligence and computing technologies in support of a more sustainable future.

As AI and digital technologies continue to transform society, their environmental footprint, resource requirements, ethical implications, and societal impacts have become increasingly important areas of research. Journal of Green AI provides a platform for researchers and practitioners to explore technological approaches that improve computational efficiency while addressing environmental and social sustainability.

The journal covers a broad range of topics, including Green AI, sustainable computing, energy-efficient artificial intelligence, machine learning, data science, environmental applications of AI, sustainable technology, responsible AI, AI ethics, and the relationship between technology and society.

Aims & Scope
The journal welcomes contributions addressing, but not limited to:

  • Green Artificial Intelligence — energy-efficient models, algorithms, and AI architectures.
  • Sustainable Computing — low-energy computing, sustainable data centers, resource-efficient systems, and green IT.
  • AI for Sustainability — applications of AI to climate, environmental monitoring, natural resources, energy, agriculture, and sustainable development.
  • Data Science & Environmental Analytics — data-driven approaches to environmental and sustainability challenges.
  • Efficient Machine Learning — model optimization, lightweight AI, edge AI, and computational efficiency.
  • Responsible & Ethical AI — transparency, accountability, fairness, governance, and the societal implications of AI.
  • Sustainable Technology — emerging technologies that contribute to environmental and resource sustainability.
  • Technology & Society — social, economic, and ethical dimensions of sustainable digital transformation.
  • Computational Sustainability — computational methods for addressing complex environmental and sustainability problems.

Target Audience
The journal is intended for researchers, academics, students, technology professionals, sustainability practitioners, industry experts, and policymakers interested in the development of sustainable and responsible artificial intelligence and computing technologies.