Our efforts are guided by five key principles: maintaining an acute awareness of the societal and environmental impacts of AI systems and applications; ensuring that people remain at the core of every AI system and that they retain ultimate control; requiring that AI teams be meaningfully diverse and inclusive; intentionally designing AI systems with built-in mechanisms for tracing data, model accountability, and auditability; and ensuring all AI system designs and practices are rooted in deep scientific and technological rigor.