Gmail Wants To Reply To Your Emails For You With Artificial Intelligence

Google just unveiled technology that’s at least moving in that direction. The company is beefing up its Inbox by Gmail app so that it can analyze the contents of an email and then suggest a few responses. The idea is that you can rapidly respond to someone while on the go without having to manually tap a fresh message into your smartphone keyboard.

“The network will tailor both the tone and content of the responses to the email you’re reading,” says Google product management director Alex Gawley. It gives you three of these responses, and you can then choose the one that best suits what you want to say.

The system uses what’s called a “long short-term-memory,” or LSTM, neural network. Essentially, this is a neural net that exhibits something akin to human memory. It can “remember” the beginning of an email as it’s parsing the end—and that helps it, on some level, understand this natural language. In a research paper published earlier this year, a team of Google researchers showed how this technology could be used to build a “chatbot” that can carry on a decent conversation (in certain situations).

Actually, the Smart Reply system uses two neural networks. After the first one analyzes the email at hand—distilling what is being said—a second takes this information and works to generate the potential responses. This network builds these replies one word at a time, much as you would.

With Smart Reply, Google is rightly keeping the scope of the application as small as possible. The replies it generates are between three and six words long. But Gawley says that within this small scope, the system proves surprisingly nuanced. In some cases, for instance, it can tell when an email includes a joke and suggest the reply “Ha. Very funny.” If someone asks “Do you have your vacation plans set yet? When you do, can you send them along?,” the potential replies might be: “No plans yet,” “I just sent them to you,” and “I’m working on them.”

Other common replies include “Thanks,” “Sounds good,” and “How about tomorrow?” But it’s important to remember that the system isn’t offering a canned catalog of replies. In effect, the AI really is “reading” your email and coming up with what it judges the most appropriate original response in the context of a specific message. According Gawley, the system can generate about 20,000 discreet responses.