Keynote at the 5th Workshop on Validation, Analysis, and Evolution of Software Tests (VST 2022) Website: https://rramler.github.io/vst2022/ Abstract: Nowadays, Artificial intelligence (AI) plays a critical role in automating different human-intensive tasks, including software engineering tasks. Since the late 70s, researchers have proposed automated techniques to automatically generate test data (fuzzing) or test suites (test suite generation). Proposed techniques span from simple heuristics to more advanced AI-based techniques and evolutionary intelligence in particular. While recent studies have shown that these techniques achieve high coverage and find bugs, generated tests can be hard to understand and maintain. This talk will provide an overview and reflection on state-of-the-art techniques, open challenges, and research opportunities towards more accessible tests that are easy to integrate within the DevOps cycle. To this aim, the talk will cover relevant application domains, including "traditional" software and emerging cyber-physical systems.