Reasoning and Planning with Dynamic Social Norms
Abstract
To safely interact with humans, AI systems must both have knowledge of our norms and consider norms in their planning processes. However, norm-guided planning has been less explored, only within communities of artificial agents and ignoring the dynamic nature of norms. This paper presents an approach to guiding planning with dynamically changing norms in a human-AI setting. This yields adaptive guard rails for the actions of AI systems.