IU researchers advance transparent AI with support from REALLMS

Improving transparency in artificial intelligence is crucial for building user trust and ensuring ethical decision-making in automated systems. By leveraging REALLMS, Indiana University researchers are addressing the 'black box' problem to make complex model outputs more interpretable for developers and end-users.