SDAIA President: Establishing ICAIRE in Riyadh Is Significant Achievement for Kingdom's AI Leadership 

Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah bin Sharaf Al-Ghamdi speaks at the forum. (SPA)
Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah bin Sharaf Al-Ghamdi speaks at the forum. (SPA)
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SDAIA President: Establishing ICAIRE in Riyadh Is Significant Achievement for Kingdom's AI Leadership 

Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah bin Sharaf Al-Ghamdi speaks at the forum. (SPA)
Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah bin Sharaf Al-Ghamdi speaks at the forum. (SPA)

Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah bin Sharaf Al-Ghamdi emphasized on Monday that the cabinet's decision to establish the International Center for Artificial Intelligence Research and Ethics (ICAIRE) in Riyadh, and its classification as a UNESCO Category II International Center, mark significant achievements in line with SDAIA's vision.

Al-Ghamdi stated that such a vision positions Saudi Arabia as a global leader in ethical artificial intelligence (AI) by providing support for research and development in the field, enhancing awareness of AI ethics, and offering consultative support in AI policies and capacity building.

He made his remarks at a ministerial session, “Regional Approach to Advance Ethical Governance of Artificial Intelligence” during the Global Forum on the Ethics of Artificial Intelligence, organized by the UN Educational, Scientific, and Cultural Organization (UNESCO) and Slovenia’s Ministry of Digital Transformation in Kranj.

The forum, held under the theme “Changing the Landscape of AI Governance,” is taking place from February 5 and 6 with the participation of several distinguished ministers of technology and AI from various countries.

“The Global Forum on the Ethics of Artificial Intelligence reminds us of our shared responsibility in dealing with the complexities of AI. It also emphasizes the need for a collaborative spirit in shaping the future of artificial intelligence,” Al-Ghamdi said.

The ICAIRE center in the Kingdom has taken significant steps in regional collaboration and capacity building, hosting in the past two weeks two sessions on AI governance regarding UNESCO's methodology for ethical readiness for AI, he added.

These sessions were held in collaboration with UNESCO, the Arab League, and the General Secretariat of the Gulf Cooperation Council (GCC), Al-Ghamdi noted.

The sessions were aimed at aligning regional ethical practices for AI, fostering awareness, achieving dissemination, and unleashing the inherent value of AI while ensuring adherence to the correct standards, he continued.

He added that the Kingdom's central geographic and cultural location in the heart of the Arab and Islamic worlds "gives us a profound responsibility" because Muslims account for nearly a quarter of the world's population and a significant portion also speak Arabic.

"This necessitates our progress in AI to be comprehensive and culturally sensitive. Therefore, we pay special attention to the development of Arabic language technologies and large language models to ensure the region's presence in the framework of advancing AI," Al-Ghamdi said.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.