Difference between revisions of "Automated Resume Screening"
From SI410
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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>. | + | 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>. AI algorithms can process exponentially more applicants than humans in the same time reducing the amount of applicants recruiters have to manually evaluate before hiring someone for a specific position. |
==<big> Ethical Implications </big>== | ==<big> Ethical Implications </big>== | ||
Revision as of 21:36, 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.
Contents
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]. AI algorithms can process exponentially more applicants than humans in the same time reducing the amount of applicants recruiters have to manually evaluate before hiring someone for a specific position.
Ethical Implications
Gender Bias
Ethnic Bias
Circumstantial Bias
Reducing Bias
References
- ↑ Bart Turczynski. 2021 HR Statistics: Job Search, Hiring, Recruiting & Interviews. Zety. https://zety.com/blog/hr-statistics#resume-statistics
