An MBZUAI team led by Thamar Solorio and Monojit Choudhury received a Google Academic Research Award to study how AI can better understand and respond to human loneliness in digital spaces. The project will examine how loneliness is expressed online, how conversational agents can detect it, and what healthier AI companionship could look like in collaboration with Georgia Tech. The team aims to define digital loneliness and its expression in online conversations with AI. Why it matters: This research addresses a growing global issue by exploring the ethical and psychological implications of AI companionship, potentially leading to safer and more beneficial AI interactions.
MBZUAI has received a Google Academic Research Award to study how AI can better understand and respond to human loneliness in digital spaces. The project will examine how loneliness is expressed online, how conversational agents can detect it, and what healthier AI companionship could look like. The research aims to define digital loneliness and address the potential negative impacts of AI chatbots on users.
MBZUAI faculty member Ekaterina Kochmar and postdoctoral researcher Kaushal Kumar Maurya won a Google Academic Research Award for their research on an intelligent tutoring system. The project, "2σ-ITS," aims to develop an educational foundation model for personalized learning and to support tutors in reaching students with limited access to mainstream education. The Google award provides funding and collaboration opportunities for researchers, with Kochmar and Maurya being the only team from the Middle East to win. Why it matters: This award highlights the growing recognition of AI's potential to improve educational equity and access in the region and beyond.
Google.org is providing $1 million to MBZUAI to fund a research initiative led by Professor Thamar Solorio focused on addressing the “data divide” in AI for underrepresented languages, especially those in the MENA region. The project aims to create resource-lean AI models tailored to the sociocultural and linguistic realities of MENA, requiring less data and computational power. This initiative will also support the training of postdoctoral and early-career researchers at MBZUAI. Why it matters: The funding will help create AI technologies grounded in the linguistic nuances of the MENA region, rather than adapting Western models, while also democratizing AI development by lowering resource requirements.
MBZUAI Ph.D. candidate Muhammad Maaz has been awarded the 2025 Google Ph.D. Fellowship in Machine Perception. Maaz is the first student from MBZUAI and the first from the Gulf region to receive this recognition, which includes funding, mentorship, and $50,000. He has published extensively in top-tier CV/NLP venues and has over 4,500 citations. Why it matters: This award highlights the growing prominence of MBZUAI and the increasing quality of AI research in the Gulf region on the global stage.