ΑΙhub.org
 

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.



tags:


Association for the Understanding of Artificial Intelligence (AAAI)

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.

Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti

  08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.

Scaling up multi-agent systems: an interview with Minghong Geng

  07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence