Join us for a thought-provoking session that uncovers the critical concept of model bias in generative AI - a metric often overlooked in model selection. We will explore why model bias is not the same as model performance, its significance in model selection, and how it impacts your projects, whether you're developing niche applications or seeking broader solutions. You'll walk away with the knowledge to incorporate model bias into your selection criteria and strategies to navigate the complexities of generative AI models.

This talk welcomes anyone interested in generative AI - whether you're a sceptic or a developer. Together, let's examine the hidden biases that shape the models we use and understand their implications for our work.