General Principle

Research on general principles in artificial intelligence focuses on establishing foundational rules and methodologies for developing reliable, ethical, and efficient AI systems. Current efforts concentrate on aligning AI behavior with human values, improving the generalization capabilities of models (like LLMs and deep learning architectures), and developing robust and interpretable methods for training and evaluating AI agents. This work is crucial for advancing AI safety, promoting responsible AI development, and enabling the broader adoption of AI across various scientific and practical applications.