
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ML Models for Safety-Critical Systems with Lucas García - #705
Oct 14, 2024
Lucas García, Principal Product Manager for Deep Learning at MathWorks, dives into the integration of ML in safety-critical systems. He discusses crucial verification and validation processes, highlighting the V-model and its W-adaptation for ML. The conversation shifts to deep learning in aviation, focusing on data quality, model robustness, and interpretability. Lucas also introduces constrained deep learning and convex neural networks, examining the benefits and trade-offs of these approaches while stressing the importance of safety protocols and regulatory frameworks.
01:16:06
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Quick takeaways
- Verification and validation (V&V) processes are crucial in ensuring the reliability and safety of AI models for critical systems.
- The new W-shaped workflow proposed by EASA addresses the unique challenges of integrating AI into traditional engineering practices.
Deep dives
The Role of AI in Safety-Critical Systems
Incorporating AI into safety-critical systems, such as those used in aviation or automotive industries, presents unique challenges compared to traditional programming. Understanding the verification and validation processes is crucial; verification checks that the model is built correctly, while validation ensures it meets intended functionalities in real-world conditions. Traditional workflows, like the V-diagram, may fall short for AI integration. The European Union Aviation Safety Agency (EASA) has proposed a new W-shaped workflow to address these gaps, emphasizing the need for systematic actions to capture and correct errors in AI-driven systems.
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