We surveyed over five-hundred HR executives to find out what they **really** think about AI and machines replacing people.
Watch this video Q&A with John Sumser on AI and Intelligent Tools in the HR and Recruiting space during the coronavirus pandemic.
“One area Manhattan-based Greenhouse focused on is predicting the Recruiting Department’s results. Hiring and finance managers always want to know when the new person will be hired and whether they will show up.” - John Sumser
“The essence of traditional interfaces is a deep emphasis on clarity (or intuitiveness). One look at the interface tells you what to do. That doesn’t work with likelihoods. Intelligent output like you’d find in machine learning requires the user to think before deciding.” - John Sumser
“Predictions don’t give you answers. They give you more questions. And it’s essential to explore those questions before you make decisions based on predictions, especially when people and their careers are involved.” - Heather Bussing
“One of the best things about predictions is that they tell you how often they will be wrong. If there is only a 10% chance of rain, you probably won’t take an umbrella. But one in ten times, you will still get wet. You will be surprised since there was a 90% chance of sun. But the prediction was correct.” - Heather Bussing
“Beyond the claim on the package, it is difficult to understand what an intelligent tool does. It’s even harder to understand what more it might do and how to improve it.” - John Sumser
Over the next two to five years HR’s most important asset will be its data. So, what percent of organizations already have a Data Governance policy? We surveyed 542 HR executives to find out.
We surveyed 542 HR executives and subject matter experts to find out what they really think about machines replacing people (and how they are evaluating new HR Tech).
We surveyed 542 HR executives and subject matter experts to find out what AI and intelligent tools were passing or failing in real-world deployments.
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