Moral Philosophy
Moral philosophy research increasingly leverages computational methods, particularly natural language processing (NLP) and machine learning, to analyze and model moral judgments and values. Current efforts focus on developing robust methods for detecting and classifying moral content in text, including the use of large language models and contrastive learning techniques to create more nuanced representations of morality beyond simple binary classifications. This interdisciplinary approach offers valuable insights into the complexities of human morality, informing both theoretical understanding and the development of ethical AI systems.
Papers
Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals
Zening Duan, Anqi Shao, Yicheng Hu, Heysung Lee, Xining Liao, Yoo Ji Suh, Jisoo Kim, Kai-Cheng Yang, Kaiping Chen, Sijia Yang
Cross Fertilizing Empathy from Brain to Machine as a Value Alignment Strategy
Devin Gonier, Adrian Adduci, Cassidy LoCascio