Confidence in AI outcomes relies on transparency and traceability, allowing users to understand contributing factors even without complete explanations. Drawing parallels with medicine, the effectiveness of treatments like Tylenol demonstrates that performance can be assessed even when the underlying mechanisms remain unclear. Emphasizing the importance of governance in AI, having robust systems in place enhances trust and understanding of AI technologies.
