Value Aligned

Value alignment in artificial intelligence focuses on aligning AI systems' behavior with human values, addressing concerns about safety and ethical implications. Current research emphasizes methods like reinforcement learning from human feedback, often incorporating multi-task learning models and techniques to decouple potentially conflicting value dimensions (e.g., helpfulness and harmlessness). This work aims to improve AI's reliability and trustworthiness by explicitly incorporating human values into the training process, leading to more robust and ethically sound AI systems across various applications, such as e-commerce and natural language processing.