Lindsay Sanneman
I am delighted to announce that I have joined Arizona State University (ASU) as an Assistant Professor of Computer Science (as of January 2025)! I am currently recruiting students. Please reach out if you are interested in working with me!
Prior to ASU, I was a postdoctoral associate working with Professor Julie Shah in the Interactive Robotics Group and Professor Dylan Hadfield-Menell in the Algorithmic Alignment Group at MIT. In my research, I aim to enhance the process of human-AI alignment through the application of techniques for human-centered explainable AI (XAI) and AI transparency. My primary areas of expertise span artificial intelligence, robotics, human-robot interaction, and human factors. I also have enjoyed interdisciplinary research opportunities and believe strongly that interdisciplinary approaches are key to developing grounded, ethical, and effective technical solutions.
News
2025
February
I am speaking at the inaugural conference of the International Association for Safe and Ethical AI (IASEAI) in Paris, France.
January
I started as an Assistant Professor of Computer Science in ASU's School of Computing and Augmented Intelligence (SCAI).
2024
September
I attended the Dagstuhl seminar on Explainable AI for Sequential Decision Making.
August
I attended the Lorentz Center workshop on Research Environments for Human-Machine Teaming at Leiden University.
May
I participated in the Fellowship at Auschwitz for Professional Ethics (FASPE) as a Design and Technology Fellow.
2023
October
I was selected as a Future Leader in Aerospace and participated in the symposium!
I presented my work on the Situation Awareness Framework for Explainable AI (SAFE-AI) at the Federal Aviation Administration (FAA) New and Emerging Aviation Technologies (NEAT) seminar series.
September
I gave a guest lecture on my research to the Human Supervisory Control of Automated Systems (16.22) class at MIT.
June
I began postdoctoral work with Professor Julie Shah in the Department of Aeronautics and Astronautics and Professor Dylan Hadfield-Menell in the Department of Computer Science at MIT.
May
I defended my Thesis titled "Transparent Value Alignment: Foundations for Human-Centered Explainable AI in Alignment".
Our paper "Validating Metrics for Reward Alignment in Human-Autonomy Teaming" was published in Computers in Human Behavior.
March
I presented our Late-Breaking Report titled "Transparent Value Alignment" at the 2023 International Conference on Human-Robot Interaction (HRI).
I gave a talk titled "Transparent Value Alignment: Foundations for Human-Centered Explainable AI in Alignment" at the Tufts Human-Robot Interaction Colloquium.
2022
November
I am excited to join the Siegel Research Fellows Program as a fellow for the 2022-2023 academic year! The cohort of fellows will conduct research broadly at the intersection of social science and technology, with a focus on questions around intelligence, information, innovation, development, decisions and design.
July
Our paper "An Empirical Study of Reward Explanations with Human-Robot Interaction Applications" was accepted to the Robotics and Automation Letters (RA-L) journal. This paper was presented at IROS 2022 in Kyoto, Japan.
2021
November
I presented our paper titled "Explaining Reward Functions to Humans for Better Human-Robot Collaboration" at the AI-HRI Fall Symposium. The presentation can be found here.
September
July
I was the lead organizer for the RSS Workshop on Accessibility of Robot Programming and the Work of the Future.
I gave a guest lecture for the University of Zurich summer school on Leadership and the Future of Work.
June
I was a panelist on the "Old Problems, New Research Generations" panel at the Industry Studies Association conference along with Work of the Future research team colleagues: MIT Institute Professor of Political Science Suzanne Berger, MIT Emeritus Professor of Economics Michael Piore, executive director of the Industrial Performance Center at MIT Ben Armstrong, and Professor of Government at UT Austin Rachel Wellhausen.
I was a panelist on the "The Future of Manufacturing: Innovation, Automation, and Skills" panel at the Industry Studies Association conference. This panel was chaired by Elisabeth Reynolds, our Ohio Research Team colleague and the Special Assistant to the President for Manufacturing and Economic Development in the National Economic Council.
May
I co-presented our paper titled "The Dynamics of Trust and Adaptability in Human-Robot Interaction" at the SpaceCHI Workshop at the CHI conference.
March
I gave a talk in the Yochan Lab at ASU titled "Transparent Value Alignment."
January
Our paper "The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions" was published in the Foundations and Trends in Robotics journal.
2020
May
I presented our paper titled "A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI" at the International Workshop on Explainable and Transparent Autonomous Agents and Multi-Agent Systems. The presentation can be found here.
March
I presented our paper titled "Trust Considerations for Explainable Robots: A Human Factors Perspective" at the HRI Workshop on Assessing, Explaining, and Conveying Robot Proficiency for Human-Robot Teaming. The presentation can be found here.
2019
August
I participated in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence (IJCAI). I presented my extended abstract titled "Preference Elicitation and Explanation in Iterative Planning."
July
I gave an invited talk titled "Human-Machine Collaborative Planning and Optimization" at the Applied Human Factors and Ergonomics conference.