June 18, 2024

Artificial intelligence’s widespread use and data generation pose challenges for evidence, as creators may not fully understand its processes. Trust issues arise due to AI’s opaque nature and embedded biases, impacting decision-making. The reliability, reproducibility, and validity of AI-generated evidence are compromised. To mitigate these issues, transparent, reliable, and valid AI models must be developed, but widespread adoption and verification remain uncertain.