Human Centered Research

Human-centered research (HCR) in artificial intelligence, particularly concerning large language models (LLMs), prioritizes understanding and mitigating the impact of AI systems on human users and society. Current research focuses on addressing biases in models, improving user privacy through better design and control mechanisms, and enhancing transparency by providing more accessible explanations of model behavior. This approach is crucial for developing responsible and beneficial AI systems, ensuring fairness, accountability, and user trust in increasingly prevalent AI applications.