Can we open the black box of AI?

Key Points

• Explore the challenge of interpreting complex artificial intelligence models to establish trust among scientists.
• Conceptual overview evaluating how machine learning systems function and where interpretability challenges arise in scientific applications.
• Widespread deployment of artificial intelligence requires clearer insight into underlying computational and learning processes.
• Scientific adoption remains limited until black box decision-making mechanisms become transparent and verifiable.