MIT EECS | Angle Undergraduate Research and Innovation Scholar
Reasonableness Monitor for Autonomous Machines
- Artificial Intelligence and Machine Learning
Gerald J. Sussman
As autonomous vehicles start to enter the public space, it is important for them to be able to justify their actions with a human-readable explanation. The reasonableness monitor, formed in the CSAIL Toyota Research Center, is a proof of concept designed to help autonomous vehicles justify their actions. Currently, the system can only determine the reasonableness of a (subject, object, verb) triple. However, my work looks to extend its capabilities to determine reasonableness among compound sentences with an added context. By having human-readable explanations, this reasonableness monitor will make people more comfortable with allowing autonomous machines into their sphere.
Participating in SuperUROP gives me the opportunity to explore artificial intelligence while gaining research experience. I am excited to apply the knowledge I have gained from my Course 6 classes and previous research in autonomous vehicles on my project.