AILGMASep 17, 2021

A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues

arXiv:2109.08294v117 citations
Originality Synthesis-oriented
AI Analysis

This addresses ethical concerns in human-machine interaction, particularly for vulnerable users like children, though it appears incremental as it applies existing multi-agent system concepts to ethical monitoring.

The paper tackles the problem of ensuring ethical behavior in dialogue systems by presenting a multi-agent system architecture and prototype for monitoring and evaluating dialogues against institutional ethical codes, with a prototype developed for online customer service chats.

Dialogue Systems are tools designed for various practical purposes concerning human-machine interaction. These systems should be built on ethical foundations because their behavior may heavily influence a user (think especially about children). The primary objective of this paper is to present the architecture and prototype implementation of a Multi Agent System (MAS) designed for ethical monitoring and evaluation of a dialogue system. A prototype application, for monitoring and evaluation of chatting agents' (human/artificial) ethical behavior in an online customer service chat point w.r.t their institution/company's codes of ethics and conduct, is developed and presented. Future work and open issues with this research are discussed.

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