Building confidence in autonomous systems through better verification
Everyday physical goods like refrigerators or even chairs undergo extensive testing so consumers can rely on their performance and know the conditions under which they will fail. Deep neural networks (DNNs) on which autonomous systems run are resistant to that sort of comprehensive evaluation by their nature, reducing operational transparency. Ensuring predictable and reliable behavior […]