Through CSIRO’s CINTEL program w
e will explore how people and machines work and learn together, and how this way of collaborating can improve human work.
Specifically, we will address four foundations of collaborative intelligence:
collaborative workflows and processes. Collaborative intelligence requires rethinking workflow and processes, to ensure humans and machines complement each other. We’ll also explore how it might help people develop new skills that niue cell phone database might be useful across areas of the workforce
situation awareness and understanding intent. Working towards the same goals and ensuring
humans understand the current progress of a task
trust. Collaborative intelligence systems
will not work without people trusting the machines. We must understand what trust means in different contexts, and how to establish and maintain trust
communication. The better the communication between humans and the machine, the better the collaboration. How do we ensure both understand each other?
Robots reimagined
One of our projects will involve working with the CSIRO-based robotics and autonomous systems team to develop richer human-robot collaboration. Collaborative intelligence will enable humans and robots to respond to changes in real time and make decisions together.
For example, robots are often used to explore
environments that might be dangerous for humans, such as in rescue missions. In June, robots were sent to help in search and rescue operations, after a 12-storey condo building collapsed in Surfside, Florida.
Often, these missions are ill-defined,
and humans must use their own knowledge and skills (such as reasoning, intuition, adaptation and experience) to identify what the robots should be doing. While developing a true human-robot team may initially be difficult, it’s likely to be more effective in the long term for complex missions.The Conversation
Cecile Paris, Chief Research Scientist, Knowledge Discovery & Management, CSIRO and Andrew Reeson, Economist, Data61, CSIRO