As Google puts machine-learning software into more products, it must train it to behave more as humans expect.
We are rethinking everything we are doing!
A Google project that is trying to stop software that learns from a limited sample of data from making what look to humans like simple, dumb mistakes. Headed by senior staff researh scientist Maya Gupta, it aims to give the software something of the common sense that enables humans to discount misleading examples.
In the past week, Google has confirmed that its core search service is now processing a large portion of queries using a new deep-learning-driven system called RankBrain. And on Tuesday it debuted a service called Smart Reply that uses machine learning to automatically offer several short choices of responses to e-mail messages.