AI and scientific integrity

Faced with an uninterrupted flow of computer-generated or computer-assisted papers, the academic world is running out of breath assessing and verifying what it produces. Learning the researcher's craft now demands keen discernment to separate digital noise from genuine theoretical advances.

Is the value of knowledge measured by the rigor of its demonstration, or by the human capacity to bear responsibility for it?