According to Josh, that is the most fundamental thing to understand when it comes to machines. Not meeting our human expectations, doesn’t automatically make the technology itself a failure. These things were, by definition, built on logic, which begs the question: Can a robot's solution actually be wrong?

The point of introducing machine learning into our products was never to have them do all the work. Instead, algorithms and logic-based solutions ought only provide humans with better insight so as to empower us to arrive at better solutions, faster.

This fundamental understanding our users that really helps us make better products. This might be a simple example, but if a computer can figure out how to walk on it's own, maybe it's time to start investigating why and how these solutions were formed.

How do we design for the unknown future?

Jared Spool, Co-Founder of UIE asks, “What was the most important thing you learned yesterday, and how will it impact what you do in the future?”

As designers and researchers, we essentially always need to think about how we design products for the future, even as we’re meeting the demands of present day design. A tall order, especially when things move as fast as they have been over the last decade.

To start, Jared advocates for looking back at the ways in which our design processes have already changed.