Probing Ethical Framework Representations in Large Language Models: Structure, Entanglement, and Methodological Challenges

1. 1Identify the ethical frameworks to be probed, such as deontology and utilitarianism
2. 2Probe the hidden representations of these frameworks in large language models using techniques like dimensionality reduction and clustering
3. 3Analyze the resulting representations to identify patterns and relationships between frameworks
4. 4Evaluate the transferability of these representations across different models and tasks

AI engineers and ML researchers can benefit from this study to improve the ethical decision-making of large language models, while product managers and entrepreneurs can use these insights to develop more responsible AI products

💡 Large language models can internally represent different ethical frameworks in a differentiated manner, but the transfer of these representations across models and tasks is complex and asymmetric

💡 Large language models can distinguish between ethical frameworks, but with asymmetric transfer patterns #LLMs #Ethics