Self-driving cars make mistakes, and now users can see why

TL;DR - A newly reported autonomous-vehicle system can provide human-interpretable explanations for its driving decisions and mistakes. This transparency could help users understand system behavior and potentially improve driving safety.

• The system explains its decisions directly rather than operating solely as a black box.
• Human-interpretable explanations could make autonomous-driving errors easier to diagnose.
• The Nature summary suggests potential safety benefits but provides no performance results or implementation details.