In this post, we discuss the rapidly evolving landscape of AI governance and regulation, particularly focusing on Generative AI. We highlight the challenges businesses face in keeping up with global AI policies, with over 1000 AI initiatives from 69 countries, territories, and the EU.

As generative AI chatbots continue to make their way into regulated industries like insurance, assessing their trustworthiness becomes essential. In this post, we present findings from testing two generative AI chatbots employed by leading insurance companies in the DACH region (Germany, Austria, Switzerland), covering more than 70 million clients.

In this blog post, we’ll explore the importance of QA in identifying issues like fairness, robustness, and transparency, and how tailored testing solutions can mitigate risks associated with AI, ensuring your applications deliver consistent, high-quality outcomes in real-world environments.

Learn how to ensure robustness, reliability, and compliance in LLM application testing with these essential strategies and best practices.

In this post, we delve deeper into one crucial aspect of compliance: ethical considerations, specifically focusing on bias and toxicity in LLM applications.