MBZUAI's Executive Program held a module on AI ethics, safety, and societal impacts, led by Professors Tom Mitchell and Justine Cassell. The session covered machine learning bias, privacy, AI's impact on jobs and education, and the ethical use of AI. Forty-two participants from ministerial leadership and top industry executives are part of the first cohort. Why it matters: This highlights MBZUAI and the UAE's commitment to ethical AI development as part of building a knowledge-based economy.
KAUST is launching the Lifelong Learning Initiative (LLI), offering short, hands-on courses in areas like cybersecurity, food security, and semiconductors. The inaugural AI courses, designed for those with basic coding skills, will start with a "Machine Learning Bootcamp" in Riyadh from May 10-12. The KAUST Artificial Intelligence Initiative (AII) is developing AI class material in partnership with SDAIA. Why it matters: This initiative will upskill Saudi nationals and residents in critical areas like AI, supporting the Kingdom's development objectives and mobilization of the labor market.
MBZUAI has launched the Institute for Agriculture and Artificial Intelligence (IAAI) in collaboration with the UAE Presidential Court and the Gates Foundation. The IAAI will focus on strengthening global food security by providing digital advisory tools to over 43 million smallholder farmers. The institute will develop a new data corpus for agriculture to train AI models and offer localized insights on crops, pests, soils, weather, and markets. Why it matters: This initiative highlights the UAE's commitment to using AI for global good, specifically addressing food security challenges and empowering small-scale farmers through advanced technologies.
Turing Award winner Raj Reddy spoke at the MBZUAI Executive Program. Reddy is a Professor of Computer Science and Robotics at Carnegie Mellon University (CMU) and has held leadership roles at CMU, AAAI, and IEEE. His research focuses on AI, human-computer interaction, and technology's societal impact. Why it matters: High-profile speakers at UAE AI programs can help attract talent and investment to the region.
MBZUAI researchers will present 20 papers at the 40th International Conference on Machine Learning (ICML) in Honolulu. Visiting Associate Professor Tongliang Liu leads with seven publications, followed by Kun Zhang with six. One paper investigates semi-supervised learning vs. model-based methods for noisy data annotation in deep neural networks. Why it matters: The research addresses the critical issue of data quality and accessibility in machine learning, particularly for organizations with limited resources for data annotation.
Dr. Yali Du from King's College London will give a presentation on learning to cooperate in multi-agent systems. Her research focuses on enabling cooperative and responsible behavior in machines using reinforcement learning and foundation models. She will discuss enhancing collaboration within social contexts, fostering human-AI coordination, and achieving scalable alignment. Why it matters: This highlights the growing importance of research into multi-agent systems and human-AI interaction, crucial for developing AI that integrates effectively and ethically into society.
MBZUAI Assistant Professors Bin Gu and Huan Xiong are advancing spiking neural networks (SNNs) to improve computational power and energy efficiency. They will present their latest research on SNNs at the 38th Annual AAAI Conference on Artificial Intelligence in Vancouver. SNNs process information in discrete events, mimicking biological neurons and offering improved energy efficiency compared to traditional neural networks. Why it matters: This research could enable running advanced AI applications like GPTs on mobile devices, unlocking their full potential due to the energy efficiency of SNNs.
MBZUAI Professor Kun Zhang's research focuses on causality in AI systems, aiming to understand underlying processes beyond data correlation. He emphasizes the importance of causality and graphical representations to model why systems produce observations and account for uncertainty. Zhang served as a program chair at the 38th Conference on Uncertainty in Artificial Intelligence (UAI) in Eindhoven. Why it matters: This highlights the growing importance of causality and uncertainty in AI research, crucial for responsible AI deployment and decision-making in the region.