
What does it take to trust the output of an AI system? According to Léo Dreyfus-Schmidt, the better starting point may be not trusting it at all. Léo explains why AI systems need to be tested and verified rather than blindly trusted, including: • Why AI outputs should always be checked • The risks of relying on systems without sufficient verification • Why human oversight remains critical • How testing can help ensure AI behaves the way we expect





