Value System

Research on value systems in artificial intelligence, particularly large language models (LLMs), focuses on understanding and potentially mitigating biases embedded within these systems. Current work investigates how LLMs implicitly learn and reflect human values, often revealing biases towards specific demographics like younger age groups, and explores methods like inverse reinforcement learning to enable culturally-attuned value acquisition. This research is crucial for ensuring responsible AI development, addressing ethical concerns, and promoting the creation of AI systems that align with diverse human values and societal norms.