Malihe Alikhani is an Assistant Professor at Northeastern University’s Khoury College of Engineering and Visiting Fellow at The Center on Regulation and Markets at Brookings. She works towards developing safe and fair AI systems that enhance communication, decision-making, and knowledge-sharing across disciplines and populations.
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Andreas Vlachos is a Professor of Natural Language Processing and Machine Learning at the Department of Computer Science and Technology at the University of Cambridge and a Dinesh Dhamija fellow of Fitzwilliam College. His expertise includes dialogue modeling, automated fact-checking, imitation and active learning, semantic parsing, and natural language generation and summarization.
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Bertram F. Malle is a Professor of Cognitive and Psychological Sciences at Brown University. He received the Society of Experimental Social Psychology (SESP) Outstanding Dissertation award, an NSF CAREER award, the Decision Analysis Society 2018 best publication award, several HRI best-paper awards, and the 2019 SESP Scientific Impact Award. Malle’s research focuses on moral psychology and human-machine interaction.
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Q. Vera Liao is an Associate Professor of Computer Science and Engineering at the University of Michigan, and previously a researcher at Microsoft Research and IBM research. Her current interests are in human-AI interaction, responsible AI and AI transparency, with a goal of bridging emerging AI technologies and human-centered perspectives.
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Matthias Scheutz is the Karol Family Applied Technology Professor of computer science in the Department of Computer Science at Tufts University in the School of Engineering, and Director of the Human-Robot Interaction (HRI) Laboratory and the HRI Masters and PhD programs. He has over 400 peer-reviewed publications in artificial intelligence, artificial life, agent-based computing, natural language understanding, cognitive modeling, robotics, human-robot interaction and foundations of cognitive science. His current research focuses on complex ethical AI-enabled robots with natural language interaction, problem-solving, and instruction-based learning capabilities in open worlds.
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Jesse Thomason is an Assistant Professor at the University of Southern California where he leads the Grounding Language in Actions, Multimodal Observations, and Robots (GLAMOR) Lab. His research enables agents and robots to better understand and respond to human language by considering the grounded context in which that language occurs. GLAMOR has received funding from the Defense Advanced Projects Research Agency (DARPA), Amazon, the National Science Foundation (NSF), the National Institute of Health (NIH), the Army Research Laboratory (ARL), and the Laboratory for Analytical Sciences (LAS). Previously, he was a postdoctoral researcher at the University of Washington, and received his PhD in 2018 from the University of Texas at Austin.
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