The Enhancing Moral Machine E-MOMA

Abstract

Many of the currently available methods have very limited support for autonomous changes in a chatbot following its deployment. Models built using mainly AIML or Machine Learning can provide an output based on data available only prior to the deployment. While AIML is more adept at implementing a rule-based ethical code for a chatbot, it would require manual modifications each time it is desired to change its behavior. A Machine Learning model is capable of building one on its own, based on the dataset that is given to it. However, once it is trained and deployed, it does not change its behavior to account for post-deployment interactions.