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Keynote K2

Five reasons why you should NOT use GenAI

Rik Marselis

Wouter Ruigrok

13:15 - 14:15 CEST Wednesday 4th June

As artificial intelligence becomes rapidly integrated into our everyday lives and workplaces, it’s easy to get swept up in the promises of efficiency and automation.
But in our community of Quality Engineers and Testers, we will not blindly embrace Generative AI without considering the risks, won’t we?

In this talk, Wouter and Rik, based on their extensive experience of both Quality Engineering and Testing on the one hand and Generative AI on the other hand, will take a hard look at the reality of using GenAI and explore why, in quite some cases, you should NOT use it. We’ll delve into the significant risks that come with relying on GenAI. From the presence of bias in AI models, to over-automation, which risks taking the human touch out of decision-making.

We’ll also discuss the troubling phenomenon of AI “hallucinations,” and the many privacy and security concerns that remain a major issue, as GenAI often requires access to sensitive data that is not always properly safeguarded. And we’ll elaborate about people themselves being a risk, because they don’t know how to properly create prompts to apply GenAI in a safe and useful way.

Yet, this talk isn’t just about avoiding GenAI. We’ll also explore the useful applications of GenAI and how you can use it wisely and safe. Situations where GenAI truly shines are augmenting decision-making processes, handling text-heavy tasks (including various kinds of reviews) and processing vast amounts of data in ways that would otherwise be impossible for humans to manage.

In conclusion we will demonstrate, with practical examples that to fully harness its potential, quality engineers need more than just technical knowledge. Skills like critical thinking, exploration, and curiosity become essential when working with GenAI.

Join us for a balanced yet thought-provoking discussion about the future of GenAI in Quality Engineering, where we’ll examine both the limitations and opportunities AI brings to our profession.