Normally there are 70 applicants for every one job . Given these large applicant

Question

Normally there are 70 applicants for every one job . Given these large applicant pools, human resources managers are increasingly reliant on artificial intelligence (AI). AI can quickly identify high quality candidates at a fraction of the cost of traditional labor-intensive methods.

Studies cite that these algorithms are so efficient that 72% of resumes are never viewed by hiring managers. Such algorithms are built by humans and mimic human decision making. They rely on resumes, an indirect indicator of skills and capabilities. They also learn from past successes. What unintended consequences might a sole reliance on AI create for companies? If you were a human resources manager, what specific recommendations would you make to account for these consequences?

https://www.forbes.com/sites/valleyvoices/2018/01/29/how-ai-is-changing-the-game-for-recruiting/#7bb371791aa2

Explanation / Answer

Consequences for relying on AI for companies might be:

Recommendations to tackle this would be : Use two layers of filters , one is very basic filter like based on qualification which can be done using AI, and it will select 60-80% people from the total talent pool , then second layer of filtering should be done manually

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