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Generations in Dialogue: Human-centric AI and collaborative AI systems with Professor Andreea Bobu
Generations in Dialogue: Bridging Perspectives in AI is a podcast from AAAI featuring thought-provoking discussions between AI experts, practitioners, and enthusiasts from different age groups and backgrounds. Each episode delves into how generational experiences shape views on AI, exploring the challenges, opportunities, and ethical considerations that come with the advancement of this transformative technology.
Human-centric AI and collaborative AI systems with Professor Andreea Bobu
In the second episode of this new series from AAAI, host Ella Lan chats to Professor Andreea Bobu about choosing her research direction, working with humans in-the-loop, things to consider when working with data, system design challenges, the gap between what we think we’re programming and what we’ve actually programmed, privacy and personalisation, and advice for early-career researchers interested in human-centric AI.
About Professor Andreea Bobu
Andreea Bobu is an Assistant Professor at MIT and leads the Collaborative Learning and Autonomy Research (CLEAR) Lab, where she develops autonomous agents that learn to act for, with, and around people. Her research focuses on aligning robot behavior with human expectations by studying how agents can acquire the right supervision—whether from direct human input or priors—build shared task representations with users, and address misalignment from differing human models. Drawing from deep learning, inverse reinforcement learning, and Bayesian inference, her work is grounded in experiments with systems like assistive robot arms and large language models. Professor Bobu earned her Ph.D. in EECS from UC Berkeley with Anca Dragan, was a Research Scientist at the AI Institute, and previously interned at NVIDIA’s Robotics Lab. She holds a B.S. in Computer Science from MIT.
About the host
Ella Lan, a member of the AAAI Student Committee, is the host of “Generations in Dialogue: Bridging Perspectives in AI.” She is passionate about bringing together voices across career stages to explore the evolving landscape of artificial intelligence. Ella is a student at Stanford University tentatively studying Computer Science and Psychology, and she enjoys creating spaces where technical innovation intersects with ethical reflection, human values, and societal impact. Her interests span education, healthcare, and AI ethics, with a focus on building inclusive, interdisciplinary conversations that shape the future of responsible AI.
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