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Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs

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arxiv 2310.07251 v1 pith:IHF2IOPN submitted 2023-10-11 cs.CL cs.AI

classification cs.CLcs.AI
keywords ethicalmoraldifferentframeworkllmsmodelspolicyprinciples
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In 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.

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  1. Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models

    cs.CL 2025-06 conditional novelty 5.0 of 10

    LLMs systematically treat modal words like 'must' as evidence of obligation even in non-obligatory contexts, more strongly than humans, and a few-shot plus reasoning prompt can lower the rate of such judgments.

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