In the latest issue of IM+io, CERTAIN board member Dr. Kevin Baum explores in an interview a crucial question for AI development: what do we really see when we focus solely on correlations, and what remains hidden if we ignore causality? AI systems are great at spotting patterns, but that doesn’t mean they understand relationships. Biases in data don’t disappear and directly shape decisions. Truly trustworthy AI requires looking at the entire socio-technical system, including technology, data, and human responsibility. Human oversight plays a crucial role. He concludes that there are no perfect datasets, but we can create conditions for AI to remain transparent, fair, and accountable.