Review of Explainable Decision Support and Adaptive Human-Machine Interfaces for Automation Transparency in Maritime Autonomous Surface Ships
The episode reviews a paper on Explainable Decision Support and Adaptive Human-Machine Interfaces for Maritime Autonomous Surface Ships. Hosts discuss the gap between advanced AI and usable transparency, arguing that systems must intelligently filter data and adapt explanations to human cognitive load. Improvements focus on making explainability a core design principle through multi-modal cues and layered transparency to build trust.