Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: AI 
In this episode we have invited Bartek Pisulak, Dir of Cloud Quality Engineering at Pegasystems, who has been educating quality engineers on AI-Augmented Chaos Testing in Practice. Tune in and learn about the how AI can improve efficiency in the 5 critical phases of a chaos experiment: Steady State, Hypothesis, Run Experiment, Verify, Improve!
To learn more about the foundational principles make sure to watch some of the conference talks from Bartek listed below:

Links discussed
Bartek's LinkedIn: https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/
Talk at Cloud Native Days Austria: https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10
Talk at Porto Tech Hub: https://www.youtube.com/watch?v=-ZuEaA2PoTo
Kraken: https://github.com/krkn-chaos/krkn
ChasoEater: https://github.com/ntt-dkiku/chaos-eater