Predicting Results of Social Science Experiments Using Large Language Models

Scientific teaching on the potential of LLMs in predicting social and behavioral science experiments, including an overview of a study on LLM GPT-4 simulation and assessment of predictive accuracy. Results show strong correlation, improved accuracy, and accurate identification of harmful content. Limitations and risks include concerns about biases, higher accuracy for text-based experiments, and ethical and privacy concerns. The conclusion emphasizes the support of LLMs in theory building and...