
Artificial intelligence (AI) is transforming pharmacovigilance. From automated case processing to signal detection and duplicate identification, AI systems promise to enhance efficiency, improve quality, and enable entirely new capabilities. However, the rapid proliferation of AI tools—coupled with decreasing development costs—creates a critical challenge: how do we know which AI systems actually work?








