Solon discusses the importance of providing explanations for automated decisions in credit scoring, highlighting existing U.S. laws like ECOA and FCRA that mandate transparency. He emphasizes that while complex models can be developed, the challenge remains in ensuring they meet regulatory requirements for interpretability. Recent advancements in machine learning offer potential solutions, but practical implementation may still pose complications.
