As was the case with the mobile revolution, and the web before that, machine learning will cause us to rethink, restructure, and reconsider what’s possible in virtually every experience we build. Google works to bring UXers up to speed on core Machine Learning(ML) concepts, understand how to best integrate ML into the UX utility belt, and ensure building ML and AI in inclusive ways.
Google Clips is an intelligent camera designed to capture candid moments of familiar people and pets. It uses completely on-device machine intelligence to learn to only focus on the people you spend time with, as well as to understand what makes for a beautiful and memorable photograph.
Three ways human-centred design elevates AI are:
1. Addressing a real human need.
2. Building trust.
3. Guiding the intelligence.
By re-orienting the conventional AI paradigm from finding ways to make the machine smarter, to exploring ways to augment human capability, we can unlock far greater potential in machine learning. It can become a tool for unprecedented exploration and innovation; a tool to help us seek out patterns in ourselves and the world around us intelligence.
Via: Google Design