Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans

TL;DR

Principles2Plan is an interactive system that combines human expertise and large language models to generate and operationalize ethical principles into automated planning, enhancing ethical awareness in robotic systems.

Contribution

It introduces a novel collaborative framework for generating principle-grounded ethical rules for classical planning using LLMs and human input.

Findings

System successfully generates ethical rules aligned with high-level principles.

Enables review, prioritization, and integration of ethical rules into planning.

Demonstrates feasibility of human-LLM collaboration for ethical automated planning.

Abstract

Ethical awareness is critical for robots operating in human environments, yet existing automated planning tools provide little support. Manually specifying ethical rules is labour-intensive and highly context-specific. We present Principles2Plan, an interactive research prototype demonstrating how a human and a Large Language Model (LLM) can collaborate to produce context-sensitive ethical rules and guide automated planning. A domain expert provides the planning domain, problem details, and relevant high-level principles such as beneficence and privacy. The system generates operationalisable ethical rules consistent with these principles, which the user can review, prioritise, and supply to a planner to produce ethically-informed plans. To our knowledge, no prior system supports users in generating principle-grounded rules for classical planning contexts. Principles2Plan showcases the potential of human-LLM collaboration for making ethical automated planning more practical and feasible.