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Editorial

Responsible Artificial Intelligence and Sustainable Technologies: Emerging Research Frontiers

Baker, Maher Asaad*1ORCID

* Corresponding author

*1 SOLAV, Riyadh, Saudi Arabia [email protected]
Responsible Artificial Intelligence Sustainable Technologies Ethical Computing Environmental Monitoring Energy Systems AI Governance Open Science Interdisciplinary Research

Abstract

This editorial examines the evolving intersection between responsible artificial intelligence and sustainable technologies, emphasizing the need for transparent, accountable, and human-centered AI systems in addressing complex sustainability problems. It outlines emerging research frontiers and identifies critical challenges in governance, ethics, and implementation. The article argues that interdisciplinary collaboration and strong ethical oversight are essential for ensuring that AI-driven innovation contributes positively to sustainable development.

References

  1. Toderas, M. (2025). Artificial intelligence for sustainability: A systematic review and critical analysis. Sustainability, 17(17), 8049. https://doi.org/10.3390/su17178049
  2. Fan, Z., Yan, Z., & Wen, S. (2023). Deep learning in sustainability. Sustainability, 15(18), 13493. https://doi.org/10.3390/su151813493
  3. Vega, J. (2026). Rethinking AI in the age of climate collapse. arXiv. https://arxiv.org/abs/2601.18462
  4. Rohde, F., Wagner, J., Meyer, A., et al. (2023). Broadening the perspective for sustainable AI. arXiv. https://arxiv.org/abs/2306.13686
  5. Umunnawuike, C., et al. (2025). Responsible AI governance. SPE Conference.
  6. Floridi, L., et al. (2018). AI4People. Minds and Machines, 28, 689–707.
  7. Alsaigh, R., Mehmood, R., & Katib, I. (2023). AI in smart energy systems. Frontiers in Energy Research.
  8. Jean, N., et al. (2016). Satellite imagery and poverty. Science, 353, 790–794.
  9. Kitchin, R. (2014). The data revolution. Sage.
  10. Jobin, A., Ienca, M., & Vayena, E. (2019). Global AI ethics guidelines. Nature Machine Intelligence, 1, 389–399.
  11. Lazer, D., et al. (2020). Computational social science. Science, 369, 1060–1062.
  12. Graham, M., et al. (2019). Digital divides. Geoforum, 99, 1–5.
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