Everybody Lies is written by the person who had access to the largest text dataset ever, Google! In this book Seth Stephens-Davidowitz proves how good we are at lying even when we say we are telling the truth!
This is amplified when we are on the other end of a telephone polling survey or across from an interviewer for a job.
The most reliable way to really figure out what someone thinks believes and feels is to analyse what they write, or in the case of Google what they have searched.
An easy engaging read that has brilliant material for a dinner party and will change the way you think about assessment tools if you are in the recruitment business! Read it to learn which tools are much more gameable (games!) and which aren’t (text-based assessments).
“If you want the bias out, get the algorithms in.” Andrew McAfee, MIT
Do you see people around you falling victim to a new favourite bias … the “I’m-not-biased bias”. This is where people tend to believe they have fewer biases than the average person. It’s impossible to judge whether you’re biased because when it comes to yourself, you’re the most biased judge of all. And the more objective people think they are, the more they discriminate because they don’t realise how vulnerable they are to bias.
Just as no human driver will ever match the learning capability and velocity of a Tesla car, no assessor will ever be as good as a machine that’s done it 100,000 times. The same applies to AI in recruitment.
No human recruiter will ever match the power, smarts and anonymity presented by a machine learning assessment algorithm.
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