Challenge: Recent studies focus on data-driven methods to judge the ethics of complex real-world narratives but face two major challenges: they cannot handle dilemma situations due to a lack of basic knowledge about social norms; and they focus on sparse situation-level judgment regardless of the social norm.
Approach: They propose to complement a complex situation with grounded social norms by a norm-supported ethical judgment model in line with neural module networks to alleviate dilemma situations and improve norm-level explainability.
Outcome: The proposed model improves state-of-the-art performance on two narrative judgment benchmarks.

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Challenge: aaron carroll: in social settings, human behavior is governed by unspoken rules of conduct rooted in societal norms . carroll and colleagues examine whether language generation models can serve as behavioral priors if they are not . they say we examine whether they can generate descriptions of actions that accomplish predefined goals .
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Challenge: Recent studies on transformer-based language models have shown that there seems to be a 'moral dimension' to LMs, as they show high accuracy in related downstream tasks such as moral reasoning and action classification.
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On the Machine Learning of Ethical Judgments from Natural Language (2022.naacl-main)

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Challenge: a recent study examines the morality of NLP models that can take in arbitrary text and output a moral judgment . a Delphi project is a popular system for moral prediction, but it has received criticism .
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Aligning to Social Norms and Values in Interactive Narratives (2022.naacl-main)

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Challenge: Social value alignment is the ability to create agents that act in alignment with socially beneficial norms and values in interactive narratives or text-based games.
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Social Chemistry 101: Learning to Reason about Social and Moral Norms (2020.emnlp-main)

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Challenge: SOCIAL CHEMISTRY is a conceptual formalism to study people’s everyday social norms and moral judgments over a rich spectrum of real life situations described in natural language.
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Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? (2024.findings-naacl)

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Challenge: Existing approaches to making moral judgments are mostly bottom-up and lack explainability.
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NormBank: A Knowledge Bank of Situational Social Norms (2023.acl-long)

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Challenge: NormBank is a knowledge bank of 155k situational norms that can be used to ground flexible normative reasoning for interactive, assistive, and collaborative AI systems.
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The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems (2022.acl-long)

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Challenge: Moral integrity corpus captures the moral assumptions of 38k prompt-reply pairs, using 99k distinct Rules of Thumb (RoTs).
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ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions (2024.findings-emnlp)

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Challenge: VALUESCOPE is a framework that quantifies social norms and values within online communities.
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Can I Introduce My Boyfriend to My Grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification (2025.findings-naacl)

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Challenge: Introducing the Iranian Social Norms dataset, a collection of 1,699 social norms, with Farsi adding linguistic complexity.
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