A new obstacle to landing a job after college: getting approved by AI
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Re: A new obstacle to landing a job after college: getting approved by AI
#2Re: A new obstacle to landing a job after college: getting approved by AI
#3Re: A new obstacle to landing a job after college: getting approved by AI
#4I'm thinking the promises of this technology will never be realized.
Re: A new obstacle to landing a job after college: getting approved by AI
#5This has got to be a fake. The only way AI would be able to make any sort of correct judgment about someone's probable future performance is if it had some training set of data of employees who had their interviews recorded and who were known to be bad in some way. However, it's still a massive leap in logic to be able to correlate anything an AI could observe to some tangibly bad behavior later on. I'm thinking the…
Which aspect do you find farfetched?
Re: A new obstacle to landing a job after college: getting approved by AI
#6This has got to be a fake. The only way AI would be able to make any sort of correct judgment about someone's probable future performance is if it had some training set of data of employees who had their interviews recorded and who were known to be bad in some way. However, it's still a massive leap in logic to be able to correlate anything an AI could observe to some tangibly bad behavior later on. I'm thinking the…
I’m not too worried about the long game though, humans are proving to be quite adaptable with tools like this one; an AI that optimizes your resume to match a given job description: https://www.jobscan.co/
Re: A new obstacle to landing a job after college: getting approved by AI
#7Re: A new obstacle to landing a job after college: getting approved by AI
#8This has got to be a fake. The only way AI would be able to make any sort of correct judgment about someone's probable future performance is if it had some training set of data of employees who had their interviews recorded and who were known to be bad in some way. However, it's still a massive leap in logic to be able to correlate anything an AI could observe to some tangibly bad behavior later on. I'm thinking the…
Google and other large tech giants have been working on precisely that sort of AI with those types of data for at least 10 years now. They are famous for tinkering with their hiring process based on mountains of data, with mostly bad results. Which aspect do you find farfetched?
The main goal was to filter people who have the biggest chance to go through the human interviews later in the process.
The only reason why it's called ,,AI'' now is because it's trendy. It can be just a simple linear model that takes education (University) and GPA score into account.
The simplest way to skip these filters is to get a reference from a person who already works at the company.
Re: A new obstacle to landing a job after college: getting approved by AI
#9This has got to be a fake. The only way AI would be able to make any sort of correct judgment about someone's probable future performance is if it had some training set of data of employees who had their interviews recorded and who were known to be bad in some way. However, it's still a massive leap in logic to be able to correlate anything an AI could observe to some tangibly bad behavior later on. I'm thinking the…
Google and other large tech giants have been working on precisely that sort of AI with those types of data for at least 10 years now. They are famous for tinkering with their hiring process based on mountains of data, with mostly bad results. Which aspect do you find farfetched?
Re: A new obstacle to landing a job after college: getting approved by AI
#10Earlier quoted context omitted.
Google and other large tech giants have been working on precisely that sort of AI with those types of data for at least 10 years now. They are famous for tinkering with their hiring process based on mountains of data, with mostly bad results. Which aspect do you find farfetched?
At Google machine learning was was always used for vetting the 100k+ applications per year that the HR team just doesn't have time to go through. The main goal was to filter people who have the biggest chance to go through the human interviews later in the process. The only reason why it's called ,,AI'' now is because it's trendy. It can be just a simple linear model that takes education (University) and GPA score in…