Contextual Moral Value Alignment Through Context-Based Aggregation

arXiv:2403.12805v1 Announce Type: cross
Abstract: Developing value-aligned AI agents is a complex undertaking and an ongoing challenge in the field of AI. Specifically within the domain of Large Language Models (LLMs), the capability to consolidate multiple independently trained dialogue agents, each aligned with a distinct moral value, into a unified system that can adapt to and be aligned with multiple moral values is of paramount importance. In this paper, we propose a system that does contextual moral value alignment based …

abstract agents aggregation ai agents alignment arxiv capability challenge context cs.ai cs.cl dialogue domain language language models large language large language models llms multiple through type value