Seeing music. Predicting earthquake aftershocks. Finding emojis in real life. These are just a few examples of how researchers, engineers and user-experience (UX) professionals made imaginative ideas real. They made it happen using tools and techniques developed by Google’s People + AI Research (PAIR) team in 2018.
We founded PAIR in 2017 to
Our PAIR team also built the What-If Tool, released this fall, so professionals building ML systems don’t have to write a single line of code to answer “what if” questions such as: “What if I changed data points, how would this affect my model’s predictions? Does it perform differently for various groups–for example, historically marginalized people?” Our tool makes it possible to simply click a button to visualize and inspect alternative scenarios.
Also this year, our team developed and open-sourced a new technique for helping people more easily understand the inner workings of neural networks in terms of simple, human-understandable concepts – like showing how AI can recognize images of zebras by their stripes.
In 2019, we’re excited to expand PAIR’s work further with global audiences of engineers and user-experience designers–and everyday users. For more resources, updates and information on our research, head to PAIR’s website.
