AI could make scientists do more work less well, not less work better, study argues

A new theoretical study suggests that artificial intelligence tools may degrade the quality of scientific output by incentivizing researchers to prioritize volume over depth. Because these models reduce the time required for tasks, scholars may be pressured to initiate more projects rather than dedicating time to refining or verifying their existing work. This shift risks decreasing overall research rigor even if the underlying technology functions as intended.