The Implications of AI for Science – Falling Walls Circle Plenary Table 2023
Artificial Intelligence (AI) has long proven valuable in research and science. Recent technological developments promise to dramatically increase scientific output and assist humanity in addressing important global concerns ranging from climate change to developing epidemics. Simultaneously, new AI technologies raise social, ethical, and legal concerns as they can be used to provide deceptive results. This Plenary Table aims to explore the conditions and guidelines under which AI systems can be used in the scientific environment.
Supported by Springer Nature