Google CEO: Building AI Responsibly is the Only Race That Really Matters

While some have tried to reduce this moment to just a competitive AI race, we see it as so much more than that. At Google, we’ve been bringing AI into our products and services for over a decade and making them available to our users. We care deeply about this. Yet, what matters even more is the race to build AI responsibly and make sure that as a society we get it right. We’re approaching this in three ways. First, by boldly pursuing innovations to make AI more helpful to everyone. We’re continuing to use AI to significantly improve our products — from Google Search and Gmail to Android and Maps. These advances mean that drivers across Europe can now find more fuel-efficient routes; tens of thousands of Ukrainian refugees are helped to communicate in their new homes; flood forecasting tools are able to predict floods further in advance. Google DeepMind’s work on AlphaFold, in collaboration with the European Molecular Biology Laboratory, resulted in a groundbreaking understanding of over 200mn catalogued proteins known to science, opening up new healthcare possibilities.

Our focus is also on enabling others outside of our company to innovate with AI, whether through our cloud offerings and APIs, or with new initiatives like the Google for Startups Growth program, which supports European entrepreneurs using AI to benefit people’s health and wellbeing. We’re launching a social innovation fund on AI to help social enterprises solve some of Europe’s most pressing challenges. Second, we are making sure we develop and deploy the technology responsibly, reflecting our deep commitment to earning the trust of our users. That’s why we published AI principles in 2018, rooted in a belief that AI should be developed to benefit society while avoiding harmful applications. We have many examples of putting those principles into practice, such as building in guardrails to limit misuse of our Universal Translator. This experimental AI video dubbing service helps experts translate a speaker’s voice and match their lip movements. It holds enormous potential for increasing learning comprehension but we know the risks it could pose in the hands of bad actors and so have made it accessible to authorised partners only. As AI evolves, so does our approach: this month we announced we’ll provide ways to identify when we’ve used it to generate content in our services.