People or machines? Which is better at predicting performance or job success? It's likely not one or the other alone, rather both of them working together.
Collective intelligence may be a better way to assess people and their capabilities but A.I. offers the advantages of pulling insights from large amounts of data. A.I. finds relevant patterns, while people (C.I.) add context and understanding.
This paper provides a balanced view of the strengths and weaknesses of each:
- Learn why collective intelligence is more powerful than A.I. or people alone.
- Understand the strengths of A.I. and algorithms and their weaknesses
- Better understand why people, often inadvertently, make poor choices
- Learn why candidates might well prefer that both are used to decide their capability