By Josh Lovejoy | Full Article | 3000 words | Jan 25, 2018
1 minute read
Buzzword: human-centered machine learning
Bring machine learning to people, don’t just do it in isolation
Why human-centered is important
If you aren’t aligned with a human need, you’re just going to
build a very powerful system to address a very small — or perhaps
nonexistent — problem.
If the goals of an AI system are opaque, and the user’s understanding
of their role in calibrating that system are unclear, they will
develop a mental model that suits their folk theories about AI, and
their trust will be affected.
In order to thrive, machine learning must become multi-disciplinary.
Machine learning is the science of making predictions
based on patterns and relationships that’ve been automatically
discovered in data. Needs human guidance to do this more and more
The role of AI shouldn’t be to find the needle in the haystack for us,
but to show us how much hay it can clear so we can better see the