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MBZUAI Opens Applications for First Ph.D. Cohort in Human-Computer Interaction

MBZUAI ·

MBZUAI has opened applications for its inaugural Ph.D. cohort in Human-Computer Interaction (HCI), set to begin in Fall 2026. The interdisciplinary program will focus on human-AI alignment, multimodal interfaces, and brain-computer interfaces, aiming to design AI systems that improve lives responsibly. Applications for the Master of Science in HCI (fall 2027 intake) will open in 2026. Why it matters: This program expands MBZUAI’s focus on human-centered AI design, aligning with the UAE’s vision for an innovation-led economy.

Learning to Cooperate in Multi-Agent Systems

MBZUAI ·

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.

Machines and morality: judging right and wrong with large-language models

MBZUAI ·

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.