Google AI

Google AI Blog: Introducing Google AI

For the past several years, we’ve pursued research that reflects our commitment to make AI available for everyone. From computer vision to healthcare research to AutoML, we have increasingly put emphasis on implementing machine learning techniques in nearly everything we do at Google. Our research has been core to the development and integration of these systems into Google products and platforms.

To better reflect this commitment, we’re unifying our efforts under “Google AI”, which encompasses all the state-of-the-art research happening across Google. As part of this, we have expanded the Google AI website, and are renaming our existing Google Research channels, including this blog and the affiliated Twitter and Google+ channels, to Google AI. And if you’re looking for information that existed on research.google.com or the affiliated social channels, don’t fret, it’s all still there. Any links to previous Google Research website content, blog posts or tweets will redirect appropriately.
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AI at Google: our principles
We recognize that such powerful technology raises equally powerful questions about its use. How AI is developed and used will have a significant impact on society for many years to come. As a leader in AI, we feel a deep responsibility to get this right. So today, we’re announcing seven principles to guide our work going forward. These are not theoretical concepts; they are concrete standards that will actively govern our research and product development and will impact our business decisions.

We acknowledge that this area is dynamic and evolving, and we will approach our work with humility, a commitment to internal and external engagement, and a willingness to adapt our approach as we learn over time.
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AI for Social Good in Asia Pacific

Google has long been committed to the responsible development of AI. These principles guide our decisions on what types of features to build and research to pursue. As one example, facial recognition technology has benefits in areas like new assistive technologies and tools to help find missing persons, with more promising applications on the horizon. However, like many technologies with multiple uses, facial recognition merits careful consideration to ensure its use is aligned with our principles and values, and avoids abuse and harmful outcomes. We continue to work with many organizations to identify and address these challenges, and unlike some other companies, Google Cloud has chosen not to offer general-purpose facial recognition APIs before working through important technology and policy questions.
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