ASQ RRD series webinar: Reliability of AI

#stem #testing #CareersInTech #phoenix #reliability #pipeline #continuous-improvement #calibration #accuracy #control #failure-mode #failure-modes #iron

Registration Link: https://asq.webex.com/weblink/register/rf28bc2df4626a12b2a8f4ced017302ba

This introductory webinar reframes AI systems as engineered systems that must be reliable, auditable, and safe in changing environments. It surveys common failure modes of deployed models (data drift, distribution shift, miscalibration, pipeline faults, and human misuse) and outlines an assurance toolbox: testing beyond accuracy, uncertainty-aware “don’t know” behavior, monitoring, versioning, rollback, and governance. The goal is to help reliability engineers apply familiar reliability thinking (FMEA-like reasoning, controls, continuous improvement) to build trustworthy AI in production.

Speaker: Dr. Rong Pan

• Introduction & Goals
• AI as Engineered Systems
• Common Failure Modes
• Reliability Thinking (FMEA mindset)
• AI Assurance Toolbox
• Key Takeaways
• Q&A