ONE EPISODE, A STARTING POINT

Why spamming your CV doesn't help

4:10Marco Montemagno · podcast RSS

This excerpt discusses the gap between applicants and companies overwhelmed by CVs, describing the role of automatic ATS filters. The speakers connect indiscriminate applications with frustration on both sides and difficulty understanding each other’s needs and roles. They then turn to the risks of recruitment systems trained on existing data, referring to a case attributed to Amazon to illustrate the reproduction of gender imbalances. The rejection percentage mentioned remains a claim in the passage, without an explicit statistical source.

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What is discussed

AskMonty AI editorial noteSource consulted:

This excerpt discusses the gap between applicants and companies overwhelmed by CVs, describing the role of automatic ATS filters. The speakers connect indiscriminate applications with frustration on both sides and difficulty understanding each other’s needs and roles. They then turn to the risks of recruitment systems trained on existing data, referring to a case attributed to Amazon to illustrate the reproduction of gender imbalances. The rejection percentage mentioned remains a claim in the passage, without an explicit statistical source.

Key points

  • Automatic filters are described as a response to application volumes and company-defined requirements.
  • Indiscriminate applications and rigid filtering contribute to a failure to connect and understand one another.
  • The case attributed to Amazon introduces the risk of biased selections arising from imbalanced historical data.
Open the source: Perché spammare il tuo CV non serve

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