@inbook{11211e47114b4b71a8f7ab35a68ee48e,
title = "Harnessing Sustainable AI: Advancing Green Growth and Innovation in the GCC",
abstract = "By focusing on compressing AI models and making them both energy-efficient and cost-effective, the Gulf Cooperation Council (GCC) can take meaningful steps toward reducing the carbon footprint of its rapidly expanding AI ecosystem. Leveraging sustainable finance, robust regulatory frameworks, and fostering innovation hubs will ensure that AI technologies contribute to green growth, aligning with the region{\textquoteright}s vision for a sustainable future. This integrated approach not only accelerates the development of low-energy AI solutions but also attracts global investments, positioning the GCC as a leader in sustainable technological innovation. These efforts will solidify the GCC{\textquoteright}s role in promoting green growth while advancing its economic competitiveness on the global stage.",
keywords = "Network pruning, Sparse matrices, Sustainable AI",
author = "Ashhadul Islam and Belhaouari, \{Samir Brahim\} and Sami Miniaoui",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.",
year = "2025",
doi = "10.1007/978-981-96-8287-4\_10",
language = "English",
series = "Gulf Studies",
publisher = "Springer",
pages = "205--216",
booktitle = "Gulf Studies",
address = "Germany",
}