AI IN SCIENCE AND SCIENCE IN AI

Leticia Cugliandolo, docente di Fisica della materia condensata Università della Sorbona Parigi

Marc Mézard, docente di Fisica statistica e Matematica Università Bocconi Milano

Federica Sgorbissa, giornalista e comunicatrice della scienza Sissa Medialab

Artificial intelligence is having a profound impact on research, enhancing experimental measurements, simulations, and theoretical analyses. This technological progress is revolutionizing how scientists analyze data, build complex models, and predict the behavior of physical systems. However, as AI becomes more deeply integrated into scientific research, there is a growing need to develop an AI science that ensures reliable performance and transparency in decision-making processes. This requires creating robust frameworks to evaluate and validate AI algorithms, ensuring that the results are both replicable and understandable. The discussion will focus on the crucial balance between innovation and scientific integrity, exploring the challenges and opportunities that arise from incorporating AI into modern research.