Artificial intelligence-assisted scientific discovery applies models to large datasets, simulations, literature and experimental planning. AI can identify patterns, propose candidates and help researchers search spaces that are too large to explore manually.
Scientific discovery still requires human reasoning, transparent methods and empirical evidence. A model can accelerate analysis without being the independent origin or proof of a finding, so claims should preserve the contribution of experiments and researchers.
