Match what your AI does with what users want to do
Google's PAIR guidebook frames AI trust as continuous calibration, not a one-time achievement
“Building trust is no longer a static, one-time achievement. Trust is now an ongoing, critical process of continuous calibration.”
A Google Core UX program manager presented frameworks from Google's People and AI (PAIR) guidebook at Google I/O, focusing on translating user intent into AI tasks and building dynamic trust. The talk introduces 'human-AI alignment' as a design concept where trust is modeled as a continuous sparkline rather than a fixed state. While practically useful for AI product designers, this is a UX best-practices talk rather than a major announcement or research finding.