Without a clear view of their inner workings, users may be reluctant to fully adopt an AI solution," he says.
The list of advances being made thanks to AI is long, but according to experts, this technology is also subject to barriers and limitations. According to Andreas Kaltenbrunner, one of them is a lack of transparency and explainability. " Understanding how AI models reach their conclusions is key when it comes to building trust and ensuring that these results can be justified. Without a clear view of their inner workings, users may be reluctant to fully adopt an AI solution," he says.