Difference between revisions of "Automated Resume Screening"

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'''Automated Resume Screening''' refers to the use of [[Wikipedia:  Machine Learning|machine learning]] [[Wikipedia:  Algorithms|algorithms]] to parse and extract information from applicant [[Wikipedia:  Resume|resumes]]. Different algorithms are used to identify relevant skills and experience for the job from the applicant's resume using keywords in the job description and requirements.
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'''Automated Resume Screening''' refers to the use of [[Wikipedia:  Machine Learning|machine learning]] [[Wikipedia:  Algorithms|algorithms]] and [[Wikipedia:  artificial intelligence|artificial intelligence (AI)]] to parse and extract information from applicant [[Wikipedia:  Resume|resumes]]. Different algorithms are used to identify relevant skills and experience for the job from the applicant's resume using keywords in the job description and requirements.
  
 
==<big> Benefits for Companies </big>==
 
==<big> Benefits for Companies </big>==
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===Time Efficient===
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Automating resume screening using AI algorithms saves companies time-to-hire. On average, a recruiter spends 6 seconds to manually scan a resume <ref name='Zety'>Bart Turczynski. 2021 HR Statistics: Job Search, Hiring, Recruiting & Interviews. ''Zety''. https://zety.com/blog/hr-statistics#resume-statistics</ref>.
  
 
==<big> Ethical Implications </big>==
 
==<big> Ethical Implications </big>==
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==<big> References </big>==
 
==<big> References </big>==
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<references/>

Revision as of 21:25, 28 January 2022

Automated Resume Screening refers to the use of machine learning algorithms and artificial intelligence (AI) to parse and extract information from applicant resumes. Different algorithms are used to identify relevant skills and experience for the job from the applicant's resume using keywords in the job description and requirements.

Benefits for Companies

Time Efficient

Automating resume screening using AI algorithms saves companies time-to-hire. On average, a recruiter spends 6 seconds to manually scan a resume [1].

Ethical Implications

Gender Bias

Ethnic Bias

Circumstantial Bias

Reducing Bias

References

  1. Bart Turczynski. 2021 HR Statistics: Job Search, Hiring, Recruiting & Interviews. Zety. https://zety.com/blog/hr-statistics#resume-statistics