Menu

Blog

Jan 23, 2021

How Explainable Artificial Intelligence Can Help Humans Innovate

Posted by in categories: biological, chemistry, information science, particle physics, robotics/AI, transportation

I like this idea. I don’t want AI to be a black box, I want to know what’s happening and how its doing it.


The field of artificial intelligence has created computers that can drive cars, synthesize chemical compounds, fold proteins, and detect high-energy particles at a superhuman level.

However, these AI algorithms cannot explain the thought processes behind their decisions. A computer that masters protein folding and also tells researchers more about the rules of biology is much more useful than a computer that folds proteins without explanation.

Therefore, AI researchers like me are now turning our efforts toward developing AI algorithms that can explain themselves in a manner that humans can understand. If we can do this, I believe that AI will be able to uncover and teach people new facts about the world that have not yet been discovered, leading to new innovations.

Comments are closed.