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's Associate Professor of Machine Learning, Gus Xia, will co-teach an introductory AI course with Monojit Choudhury, emphasizing experiential learning and fundamental principles. Xia's background spans computer science, music, and metaphysics, aiming to inspire students to innovate in AI. More than 100 students will join MBZUAI's Bachelor of Science in Artificial Intelligence program. Why it matters: This interdisciplinary approach at MBZUAI could cultivate a new generation of AI researchers with diverse perspectives and innovative problem-solving skills.
Thamar Solorio of MBZUAI served as general chair of EMNLP 2024, which hosted over 4,000 attendees. MBZUAI researchers presented nearly 50 studies, including one co-authored by Solorio and Monojit Choudhury that received an Outstanding Paper Award. Key themes included cultural awareness, machine-generated content detection, and LLM empathy and cultural representation. Why it matters: MBZUAI's strong presence at EMNLP highlights its growing influence in the international NLP research community and its focus on culturally aware AI.
MBZUAI Professor Monojit Choudhury co-authored a study on LLMs and their capacity for moral reasoning, with the study being presented at the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL) in Malta. The study included contributions from Aditi Khandelwal, Utkarsh Agarwal, and Kumar Tanmay from Microsoft. The research explores AI alignment, ensuring AI systems align with human values, moral principles, and ethical considerations. Why it matters: The study provides insight into LLMs' capabilities regarding complex ethical issues, which is important for guiding the development of AI in a way that is consistent with human values.
Monojit Choudhury, formerly of Microsoft Research and Project Turing, has joined MBZUAI as a professor of natural language processing. Choudhury's work at Microsoft involved developing NLP applications and responsible AI, including manually programming LLMs to prevent toxic or biased content. He was impressed by GPT-4's capabilities and believes academia is the best place for deep research in NLP. Why it matters: Choudhury's experience at Microsoft, including his work on responsible AI and LLMs, could contribute to MBZUAI's NLP research and the development of more inclusive LLMs.
MBZUAI's president Eric Xing discussed AI career prospects after the university's first graduation. He also addressed the risks of ChatGPT and other AI developments. MBZUAI's Cesare Stefanini contributed to the development of underwater robots, while researchers Thamar Solorio, Monojit Choudhury, and Aseem Srivastava will study loneliness in digital spaces. Why it matters: The interview highlights MBZUAI's role in shaping AI talent and addressing societal impacts of AI in the UAE and beyond.