AI can play a significant role in detecting and preventing fraudulent scientific data or research misconduct through several key methods:
Data Analysis and Anomaly Detection: AI algorithms can analyze large datasets to identify patterns or anomalies that might indicate fraudulent activity. For example, if an experiment’s results deviate significantly from expected patterns or from similar studies, AI can flag these deviations for further investigation.