Teaching AI to build scientific models

Researchers discuss how artificial intelligence is changing scientific modeling across three steps: building models, constraining parameters, and interpreting results. While AI tools like simulation-based inference and LLM-driven code generation can accelerate these processes, the authors argue that the true value of scientific modeling lies in the process of discovery and insight rather than merely fitting data. Open article →