2025 marked a major shift for artificial intelligence as it became a helpful, proactive partner capable of reasoning and navigating the world. As models become even more sophisticated, people and businesses around the world are shifting from exploration to integration, finding new ways to put these tools into their daily lives. AI’s transformative potential is coming more clearly into focus, from fundamental advances in scientific discovery and clinical milestones in healthcare to the emergence of agent systems capable of dramatically increasing a person’s productivity.
Today, we’re sharing our latest progress report on responsible AI. Since we began publishing these reports, our approach to responsible AI development has continued to mature and is now fully integrated into our product development and research lifecycles. In 2025, as models become more capable, personalized and multimodal, we relied on robust processes to test and mitigate risk and deepened the rigorous security measures built into our products. To meet this challenge with Google’s speed and scale, we’ve paired twenty-five years of user trust insights with cutting-edge, automated adversarial testing that ensures human experts provide critical monitoring of our most advanced systems.
Our AI Principles are the North Star standards that guide our research, product development and business decisions. Our latest report describes how we operationalize these principles through a multi-layered governance approach that spans the entire AI lifecycle—from initial research and model development to post-launch monitoring and remediation. The report also shows how our systems are built to detect and then adapt to new risks in a dynamic environment.
Accountability is not just about stopping bad outputs. It is also about enabling broad access to these tools for maximum benefit to people and society. By striking the right balance, we can ensure that AI is used to tackle major societal challenges that were previously insurmountable, from predicting floods for 700 million people to decoding the human genome and helping to prevent blindness.
Building trust in these tools requires a deep partnership with governments, academics and civil society. As technology evolves, we remain committed to setting industry standards and sharing our research and tools with the broader ecosystem to advance the use of artificial intelligence that will improve lives everywhere.