Compound uncertainty: AI’s hidden risk in safety-critical development

<img width="974" height="481" src="https://www.edn.com/wp-content/uploads/Hero-image-Parasoft.jpg?fit=974%2C481" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" fetchpriority="high" srcset="https://www.edn.com/wp-content/uploads/Hero-image-Parasoft.jpg?w=974 974w, https://www.edn.com/wp-content/uploads/Hero-image-Parasoft.jpg?w=300 300w, https://www.edn.com/wp-content/uploads/Hero-image-Parasoft.jpg?w=768 768w" sizes="(max-width: 974px) 100vw, 974px" /><p>You will never eliminate functional insufficiency from an AI system, but you can build an architecture that catches it before it becomes a safety event.</p> <p>The post <a href="https://www.edn.com/compound-uncertainty-ais-hidden-risk-in-safety-critical-development/">Compound uncertainty: AI’s hidden risk in safety-critical development</a> appeared first on <a href="https://www.edn.com">EDN</a>.</p>