An interdisciplinary creative team helping to shape machine learning capabilities, applications, and the sociotechnical systems in which they are embedded.
About the team
The Mural team uses design, data, code, and narrative to create artifacts that bring Google’s AI principles to life and steer both the development and distribution of new technologies. Our projects and programs seek to:
- Discover and address interconnected societal or cultural questions
- Reveal opportunities by prototyping and evaluating potential experiences
- Share reusable methods and tools to multiply progress across the field
- Engage external communities in collaboration and critique on all of the above
A workshop at the SPAN annual design conference on new methods for problem-solving that looked beyond the individual perspective, considering everything from human-animal relationships to the ecology of forest fires.
Android's Private Compute Core keeps your information safe and private for a number of AI-driven features like Live Caption, Now Playing, and Smart Reply — and the protections are fully inspectable and verifiable by the security community.
Designers and technologists look to the natural world to envision more resilient futures.
In a collaboration with the Artists and Machine Intelligence Program, artist Refik Anadol used generative machine learning techniques for audio and video to interpret nearly 45 terabytes of data from the LA Phil’s digital archives.
What if you could use natural language to ask questions of a news article, research paper, or blog post? We tried an experiment with BERT right in your web browser and said DEL to CTRL+F.
From moonshot thinking to the power of listening, members of Google’s speculative design teams discuss how they’re rehearsing for what’s next.
Meet six artists creatively pushing the boundaries of generative ML and natural language processing.
Empowering people with new AI-driven abilities that are both efficient and private.
Live Relay uses on-device speech recognition and text-to-speech conversion to allow the phone to listen and speak on the users’ behalf while they type.
With federated analytics, you can safely contribute to health research knowing your personally identifiable study data will never be available to Google or third parties.
Project Guideline, an early-stage research project, developed in partnership with Guiding Eyes for the Blind, uses machine learning to guide runners through a variety of environments that have been marked with a painted line.
Building better products with on-device data and privacy by default.