Serena Booth
Scholar

Serena Booth

Google Scholar ID: sf3ROEUAAAAJ
Brown University
Human-AI interactionHuman-Robot InteractionReward Function DesignRLHFAI Policy
Citations & Impact
All-time
Citations
896
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Published multiple papers at the AAAI Conference on Artificial Intelligence, such as 'The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications' (2023), 'Learning Optimal Advantage from Preferences and Mistaking it for Reward' (2024), etc.; Developed Bayes-TrEx tool to improve model transparency.
Research Experience
  • Was a AAAS AI Policy Fellow in the U.S. Senate; conducts research on human-AI/robot interactions, reinforcement learning, and AI policy.
Background
  • CS Prof at Brown University. Research interests include human-AI/human-robot interaction, reinforcement learning, and AI Policy.
Miscellany
  • Interested in effective communication of logical statements; open to external applicants for PhD programs or postdoc positions.