Google today announced the “People + AI Research initiative (PAIR)” that aims to brings together researchers across Google to study and redesign the ways people interact with AI systems. The goal of PAIR is to focus on the "human side" of AI: the relationship between users and technology, the new applications it enables, and how to make it broadly inclusive.
The PAIR goal is not just to publish research; but the company is also releasing open source tools for researchers and other experts to use.
PAIR's research is divided into three areas, based on different user needs:
Engineers and researchers: AI is built by people. How might we make it easier for engineers to build and understand machine learning systems? What educational materials and practical tools do they need?
Domain experts: How can AI aid and augment professionals in their work? How might we support doctors, technicians, designers, farmers, and musicians as they increasingly use AI?
Everyday users: How might we ensure machine learning is inclusive, so everyone can benefit from breakthroughs in AI? Can design thinking open up entirely new AI applications? Can we democratize the technology behind AI?
The two-new open source visualisation tools launched include -- Facets Overview and Facets Dive. These applications are aimed at AI engineers, and address the very beginning of the machine learning process.
The Facets applications give engineers a clear view of the data they use to train AI systems. With Facets, engineers can more easily debug and understand what they’re building. You can read full details at our open source repository.