Builders and buyers of AI systems are required to test and show that their systems comply with legislation – on safety, discrimination, privacy, transparency, and accountability. This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them.We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests. We then introduce Pacific AI, which provides a no-code interface for this capability for domain experts, as well as automating many of the best practices on how these tools should be used.