AI in Science: Foundations and Applications

Idea and Motivation

Artificial intelligence (AI) is all the rage these days, promising many new innovations that will make our lives easier. It is also significantly changing the way we do science, raising several fundamental and methodological questions, such as the role of bias, explainability, and the limits of empirical methods. Addressing these questions requires an interdisciplinary effort to which various sciences, from computer science to social science to philosophy, can contribute. This workshop brings together relevant researchers from Cambridge and LMU Munich to engage in the relevant discussions. It is part of the project "Decision Theory and the Future of AI", funded by the Cambridge-LMU Strategic Partnership Initiative. The workshop is also part of the Research Focus Next Generation AI at LMU’s Center for Advanced Studies (CAS).

Further Information

• Website of "AI in Science: Foundations and Applications"