MBZUAI researchers Darya Taratynova and Shahad Hardan developed Forget-MI, a method for making clinical AI models "unlearn" specific patient data without retraining the entire model. Forget-MI addresses the challenge of removing patient data from AI models trained on multimodal records (like chest X-rays and reports) due to regulations like GDPR and HIPAA. The method unlearns both unimodal (image or text) and joint (image-text) associations while retaining overall accuracy using a late-fusion multimodal classifier. Why it matters: This research provides a practical solution to a critical privacy concern in healthcare AI, enabling compliance with data protection regulations and fostering trust in AI-driven medical applications.
The India AI Impact Summit featured discussions on AI's potential to add $1 trillion to India's GDP by 2035. Speakers emphasized the need for India to develop its own AI models and datasets, rather than relying on Western ones. The summit also highlighted the importance of AI in healthcare, agriculture, and financial services for India's development. Why it matters: These discussions signal growing interest in AI development tailored to the Indian context, echoing similar trends in the GCC region focused on Arabic-centric AI solutions.
KAUST will host its inaugural Future Forum in Riyadh on February 12-13, 2024, showcasing 15 years of KAUST's research and innovation. The forum aims to unite government, industry, investors, and academia, featuring panel discussions and an interactive exhibition with 47 speakers. The event will highlight KAUST's alignment with Saudi Arabia’s Research, Development and Innovation (RDI) agenda, which seeks to increase RDI investment to 2.5% of GDP. Why it matters: This forum signals KAUST's strategic pivot towards directly supporting Saudi Arabia's national development goals, potentially influencing the direction of AI research and funding in the Kingdom.
KAUST has launched the KAUST SME Innovation Services program to foster the growth of small and medium-sized enterprises (SMEs) in Saudi Arabia. The program aims to provide SMEs with access to KAUST's innovation ecosystem, helping them increase their customer base and reach new markets. This initiative follows a comprehensive survey of 500 SMEs conducted in partnership with various organizations, including Monsha'at and the Jeddah Chamber of Commerce. Why it matters: This program supports Saudi Vision 2030's goal of increasing SME GDP contributions and strengthens the Kingdom's economic landscape by leveraging university resources.
Dr. Sultan Al Jaber highlighted the UAE's focus on AI as a key economic and social driver, estimating AI's potential contribution to the UAE's GDP at $97.9 billion by 2030. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is positioned to play a crucial role in achieving the UAE's national AI strategy goals by 2031. The UAE aims to become a global leader in AI, leveraging it across various sectors to enhance efficiency and innovation. Why it matters: This reaffirms the UAE's commitment to becoming a leader in AI, supported by strategic initiatives and investments in education and technology.
MBZUAI master's graduate Rohit Bharadwaj is pursuing a Ph.D. at the University of Edinburgh, following in the footsteps of Geoffrey Hinton. His research focuses on developing generative models, specifically diffusion models, to anonymize datasets while preserving utility, addressing GDPR compliance. He aims to balance privacy protection with the need for useful data in AI systems. Why it matters: This highlights the growing importance of MBZUAI as a feeder institution for top global AI research programs and the increasing focus on privacy-preserving AI technologies.
COP28 President-Designate Dr. Sultan Ahmed Al Jaber visited MBZUAI and emphasized AI's role in the UAE's economic diversification and sustainable growth. He highlighted AI's potential to contribute $13 trillion to global GDP by 2030. Al Jaber also met with researchers to discuss projects related to sustainable environment, healthcare, education, and Arabic LLMs. Why it matters: This underscores the UAE's commitment to AI as a key driver for its future economy and its focus on leveraging AI for climate solutions and national priorities.
MBZUAI Professor Fakhri Karray delivered a talk on advances in operational AI, highlighting its potential to grow global GDP by 15% by 2025. He discussed AI's impact on IoT, self-driving machines, virtual assistants, and other fields. Karray outlined milestones in AI, achievements in operational AI, future directions, and challenges for safe and beneficial AI. Why it matters: The presentation underscores MBZUAI's role in shaping the discourse around AI's transformative potential and ethical considerations in the region.