The AI “black box” problem, stemming from a lack of transparency, hinders adoption and raises regulatory concerns in fields like medical diagnostics and the crypto industry. Adopting explainable AI (XAI) and open-source models can promote transparency, interpretability, and accountability, enhancing trust and facilitating compliance in AI-driven processes.