Guido Palazzo’s keynote was a wake-up call, revealing how good people can unintentionally create toxic cultures. And with software often at the center, the stakes are higher than ever.

Testing is no longer just about functionality; it’s about responsibility. In a world where algorithms make decisions we can’t always explain, we must ask: who tests the testers? As AI evolves, so too must our ethical frameworks, ensuring technology serves humanity and upholds our core values.

Generating data with AI offers exciting possibilities, but it’s not without challenges. Model quality, data bias, and computational complexity can all impact results. Ensuring high-quality models, addressing biases, and planning for resource demands are key to making the most of AI-generated datasets.

Let’s look into the world of AI-powered testing and explore how it’s revolutionising test case creation, automation, and quality assurance. Join us at Swiss Testing Day 2025 for insights and networking opportunities.