Open Problems in Constitutional Preference Reconstruction

1. 1Identify pairwise preference data sources for language model training
2. 2Apply Inverse Constitutional AI (ICAI) methods to compress datasets into constitutional principles
3. 3Evaluate the limitations of current methods in generating executable decision rules
4. 4Develop new approaches to address under-specification in constitutional preference reconstruction
5. 5Test and refine these approaches using real-world language model training datasets

NLP researchers and engineers working on language model training and evaluation can benefit from understanding these open problems to improve model interpretability

💡 Current methods for reconstructing constitutional preferences from pairwise data are under-specified and require further development to generate executable decision rules

🤖 Improve language model interpretability by tackling open problems in constitutional preference reconstruction #NLProc #AI