AI Concepts: What is Moravec’s Paradox and Why Should You Care?
December 17, 2018
In the 1980s, Hans Moravec and other AI researchers discovered a curious finding that we now know as Moravec’s Paradox. Essentially, AI can very easily learn to do things that are “hard” for humans, such as advanced statistics and analysis. On the other hand, things that are very simple for humans, such as identifying colors or recognizing faces, can be incredibly difficult for computers to do.
In short: computers, algorithms, and AI are great at some things, but humans are better at others. So, how can we find the right balance?
It’s not about us vs. them
The concept that humans and machines have different strengths played out in research from Harvard. In the study, a breast cancer detection algorithm was able to detect cancer cells 92% of the time. However, the doctors were able to identify cancer cells 96% of the time.
This clearly shows that humans are better, right? But wait—the next finding was perhaps the most telling part of the study. By combining the algorithm with human experience and intuition, the team as able to identify more than 99% of cancer cells. This blending of strengths points to the incredible opportunity that is facing many professions, including those in talent acquisition.
Doing some writing today and pulled together this chart to show how comfortable most employers are with #AI being used in #HR and #recruiting decisions. What about you? Does this ring true? #ArtificialIntelligence #talentacquisition #shrm pic.twitter.com/BBdBkXaEFN
— Ben Eubanks (@beneubanks) November 14, 2018