Worried about AI making mistakes in critical systems? Learn how one tool can check, explain, and improve AI to keep it safe and reliable.
AI systems are increasingly used in safety-critical areas like automotive, but they are often complex “black boxes” whose decision-making is hard to understand. This creates serious challenges for engineers and companies that must ensure AI is reliable, safe, and compliant with regulations such as ISO/PAS 8800 and the EU AI Act. Teams struggle to spot flaws in datasets or models, and using multiple disconnected tools adds complexity and raises the risk of missing compliance gaps.
Keysight AI Software Integrity Builder addresses these problems by providing a single, lifecycle-based framework for validating and monitoring AI systems. It helps developers understand what is happening inside their AI, test models in real-world conditions, analyze datasets, and continuously track performance. The tool gives engineering teams the evidence they need to demonstrate safety and regulatory compliance while supporting ongoing AI improvement.
Unlike fragmented or open-source tools that only cover parts of the AI workflow, Keysight’s solution connects model training to deployment. It not only checks what a model has learned but also verifies how it behaves in real operation — a key requirement for high-risk applications like autonomous vehicles.
Keysight AI Software Integrity Builder offers key capabilities to ensure AI systems are reliable and safe:
- Dataset Analysis: Checks data quality using statistical methods to reveal biases, gaps, or inconsistencies that could affect model performance.
- Model-Based Validation: Explains how the AI makes decisions and uncovers hidden patterns, helping developers understand its limitations.
- Inference-Based Testing: Tests models in real-world scenarios, identifies behavior changes from training, and suggests improvements for future versions.
Thomas Goetzl, Vice President and General Manager of Keysight’s Automotive & Energy Solutions, said: “AI assurance and functional safety of AI in vehicles are becoming critical challenges. Standards and regulatory frameworks define the objectives, but not the path to achieving a reliable and trustworthy AI deployment. By combining our deep expertise in test and measurement with advanced AI validation capabilities, Keysight provides customers with the tool to build trustworthy AI systems backed by safety evidence and aligned with regulatory requirements.”
