Angel Ortmann Lee

This talk argues for designing AI systems that encourage discernment rather than mere approval. It highlights the phenomenon of cognitive surrender, where humans increasingly accept AI outputs without critical evaluation, potentially leading to errors and reduced human reasoning. The core thesis is that by engineering the human-AI interaction loop, developers can elicit more critical engagement, leading to higher quality data and more effective AI systems.