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Serena Booth
Serena Booth
MIT
Подтвержден адрес электронной почты в домене mit.edu - Главная страница
Название
Процитировано
Процитировано
Год
Do Feature Attribution Methods Correctly Attribute Features?
Y Zhou, S Booth, MT Ribeiro, J Shah
Proceedings of the AAAI Conference on Artificial Intelligence, 2022
1412022
Piggybacking robots: Human-robot overtrust in university dormitory security
S Booth, J Tompkin, H Pfister, J Waldo, K Gajos, R Nagpal
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot …, 2017
1102017
IEEE P7001: A proposed standard on transparency
AFT Winfield, S Booth, LA Dennis, T Egawa, H Hastie, N Jacobs, ...
Frontiers in Robotics and AI 8, 665729, 2021
882021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
A Hopkins*, S Booth*
Proceedings of the 2021 AAAI/ACM Conferenceon AI, Ethics, and Society (AIES ’21), 2021
502021
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
S Booth, WB Knox, J Shah, S Niekum, P Stone, A Allievi
Proceedings of the AAAI Conference on Artificial Intelligence, 2023
472023
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI)
T Williams, D Szafir, T Chakraborti, OS Khim, E Rosen, S Booth, ...
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human …, 2020
372020
Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example
S Booth*, Y Zhou*, A Shah, J Shah
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
29*2021
Models of human preference for learning reward functions
WB Knox, S Hatgis-Kessell, S Booth, S Niekum, P Stone, A Allievi
https://arxiv.org/abs/2206.02231, 2022
282022
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning
S Booth, S Sharma, S Chung, J Shah, EL Glassman
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022
232022
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
S Booth, C Muise, J Shah
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
232019
The irrationality of neural rationale models
Y Zheng, S Booth, J Shah, Y Zhou
arXiv preprint arXiv:2110.07550, 2021
182021
RoCUS: Robot Controller Understanding via Sampling
Y Zhou, S Booth, N Figueroa, J Shah
Conference on Robot Learning, 2021
142021
Learning optimal advantage from preferences and mistaking it for reward
WB Knox, S Hatgis-Kessell, SO Adalgeirsson, S Booth, A Dragan, P Stone, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10066 …, 2024
72024
Variable autonomy for human-robot teaming (vat)
M Chiou, S Booth, B Lacerda, A Theodorou, S Rothfuß
Companion of the 2023 ACM/IEEE international conference on human-robot …, 2023
52023
Varying How We Teach: Adding Contrast Helps Humans Learn about Robot Motions
T Horter, E Glassman, J Shah, S Booth
HRI Human-Interactive Robot Learning Workshop, 2023
22023
Modeling Blackbox Agent Behaviour via Knowledge Compilation
C Muise, S Wollenstein-Betech, S Booth, J Shah, Y Khazaen
AAAI Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020
22020
Explainable AI foundations to support human-robot teaching and learning
SL Booth
Massachusetts Institute of Technology, 2020
22020
Quality-Diversity Generative Sampling for Learning with Synthetic Data
A Chang, MC Fontaine, S Booth, MJ Matarić, S Nikolaidis
AAAI Conference on Artificial Intelligence, 2024
12024
Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise
SL Booth
Massachusetts Institute of Technology, 2024
2024
Aligning Robot Behaviors with Human Intents by Exposing Learned Behaviors and Resolving Misspecifications
S Booth
HRI Pioneers, 2023
2023
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Статьи 1–20