2023
EMNLP
EMNLP 2023
Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs
Abstract
AbstractIn this position paper, we argue that instead of morally aligning LLMs to specific set of ethical principles, we should infuse generic ethical reasoning capabilities into them so that they can handle value pluralism at a global scale. When provided with an ethical policy, an LLM should be capable of making decisions that are ethically consistent to the policy. We develop a framework that integrates moral dilemmas with moral principles pertaining to different foramlisms of normative ethics, and at different levels of abstractions. Initial experiments with GPT-x models shows that while GPT-4 is a nearly perfect ethical reasoner, the models still have bias towards the moral values of Western and English speaking societies.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Interdisciplinary and Machine Learning
📈
Trend Setter
— Large Language Models
🧭
Keyword Pioneer
— value pluralism
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > AI Safety
Artificial Intelligence > Core AI > Human-AI Interaction
Artificial Intelligence > Core AI > Interpretability
Artificial Intelligence > Core AI > Responsible AI
Interdisciplinary > Cognitive Science > Cognitive Modeling
Artificial Intelligence > Core AI > Large Language Models
Machine Learning > Learning Types > Large Language Models
Deep Learning > Learning Types > In-Context Learning