Social Norms-Grounded Machine Ethics in Complex Narrative Situation

Tao Shen, Xiubo Geng, Daxin Jiang


Abstract
Ethical judgment aims to determine if a person in a narrative situation acts under people’s social norms under a culture, so it is crucial to understand actions in narratives and achieve machine ethics. Recent works depend on data-driven methods to directly judge the ethics of complex real-world narratives but face two major challenges. First, they cannot well handle dilemma situations due to a lack of basic knowledge about social norms. Second, they focus merely on sparse situation-level judgment regardless of the social norms involved during the judgment, leading to a black box. In this work, inspired by previous knowledge-grounded and -augmented paradigms, we propose to complement a complex situation with grounded social norms. Besides a norm-grounding knowledge model, we present a novel norm-supported ethical judgment model in line with neural module networks to alleviate dilemma situations and improve norm-level explainability. Empirically, our model improves state-of-the-art performance on two narrative judgment benchmarks.
Anthology ID:
2022.coling-1.114
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
1333–1343
Language:
URL:
https://aclanthology.org/2022.coling-1.114
DOI:
Bibkey:
Cite (ACL):
Tao Shen, Xiubo Geng, and Daxin Jiang. 2022. Social Norms-Grounded Machine Ethics in Complex Narrative Situation. In Proceedings of the 29th International Conference on Computational Linguistics, pages 1333–1343, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Social Norms-Grounded Machine Ethics in Complex Narrative Situation (Shen et al., COLING 2022)
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PDF:
https://aclanthology.org/2022.coling-1.114.pdf