This paper proposes a way to align language models with human values by learning to prioritize different moral values in different situations, and shows that this can lead to more accurate and fair decision-making. Practitioners might care because they want to use language models in applications where values and morality are important, such as in healthcare, law, or education.
Firehose
Filtered to tagged “value alignment” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 82continual learning 29AI 26agentic coding 17reinforcement learning 16open-weight models 11AI agents 10AI safety 9AI ethics 8cybersecurity 8machine learning 7open-source 7language models 6natural language processing 6Reinforcement learning 6artificial general intelligence 5deep learning 5Diffusion models 5Agentic AI 4computer vision 4conversational AI 4ethics 4existential risk 4large language models 4LLMs 4Recursive self-improvement 4robotics 4security 4vision-language models 4ai 3
AI-generated text can cause frustration and anger in personal and relational contexts, such as human-to-human interactions, where the value of the communication lies in the person's thoughts, opinions, and relationships. In these situations, AI-generated text can be perceived as a violation of trust, causing a sense of dehumanization. AI summary