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Oct 6, 2024
Dynamic Risk Assessment in Autonomous Agents Using Ontologies and AI
Alejandra de Brunner
Summary
This project was inspired by the prompt on the apart website : Agent tech tree: Develop an overview of all the capabilities that agents are currently able to do and help us understand where they fall short of dangerous abilities.
I first built a tree using protege and then having researched the potential of combining symbolic reasoning (which is highly interpretable and robust) with llms to create safer AI, thought that this tree could be dynamically updated by agents, as well as utilised by agents to run actions passed before they have made them, thus blending the approach towards both safer AI and agent safety. I unfortunately was limited by time and resource but created a basic working version of this concept which opens up opportunity for much more further exploration and potential.
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Cite this work:
@misc {
title={
Dynamic Risk Assessment in Autonomous Agents Using Ontologies and AI
},
author={
Alejandra de Brunner
},
date={
10/6/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}