Policy Design

Policy design research focuses on creating effective and efficient policies, often leveraging artificial intelligence to analyze complex data and optimize decision-making processes. Current research emphasizes developing novel algorithms and model architectures, such as retrieval-augmented generation systems and multi-objective Bayesian optimization, to improve policy analysis, prediction, and automated policy generation. This work is significant for its potential to enhance the creation of fairer, more transparent, and effective policies across diverse domains, from healthcare and environmental regulations to AI governance itself.