Difference between revisions of "Gender bias in the Online Job Search"
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| − | [[File:Hiringfunnel.png |250px|thumbnail|right| There are many stages to the hiring process, and algorithms are involved in almost all of them. <ref name=upturn> </ref>]] | + | [[File:Hiringfunnel.png |250px|thumbnail|right| There are many stages to the hiring process, and algorithms are involved in almost all of them. <ref name=upturn>Bogen, M. & Rieke, A. (2018). <i>Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias</i>. Upturn. [https://www.upturn.org/static/reports/2018/hiring-algorithms/files/Upturn%20--%20Help%20Wanted%20-%20An%20Exploration%20of%20Hiring%20Algorithms,%20Equity%20and%20Bias.pdf https://www.upturn.org/static/reports/2018/hiring-algorithms/files/Upturn%20--%20Help%20Wanted%20-%20An%20Exploration%20of%20Hiring%20Algorithms,%20Equity%20and%20Bias.pdf] </ref>]] |
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Gender bias refers to the “unfair difference” in the way that both men and women are treated <ref name=biasDefinition>Cambridge Dictionary.(n.d.). Gender Bias. In <i>Cambridge English Dictionary</i>. [https://dictionary.cambridge.org/us/dictionary/english/gender-bias https://dictionary.cambridge.org/us/dictionary/english/gender-bias]</ref>. In the context of the online job search, this refers to the advantage male job seekers have versus female job seekers. The advancement of technology and big data has led to companies recruiting and hiring potential employees through the use of big data and artificial intelligence <ref name=paulineKim>Kim, P. T. (2019). Big data and artificial intelligence: New challenges for workplace equality. University of Louisville Law Review, 57(2), 313-328.</ref>. The use of algorithms in the job search process can perpetuate existing biases which raise ethical concerns regarding opportunities for females being blocked, and how systematic gender roles are disadvantaging female job seekers. | Gender bias refers to the “unfair difference” in the way that both men and women are treated <ref name=biasDefinition>Cambridge Dictionary.(n.d.). Gender Bias. In <i>Cambridge English Dictionary</i>. [https://dictionary.cambridge.org/us/dictionary/english/gender-bias https://dictionary.cambridge.org/us/dictionary/english/gender-bias]</ref>. In the context of the online job search, this refers to the advantage male job seekers have versus female job seekers. The advancement of technology and big data has led to companies recruiting and hiring potential employees through the use of big data and artificial intelligence <ref name=paulineKim>Kim, P. T. (2019). Big data and artificial intelligence: New challenges for workplace equality. University of Louisville Law Review, 57(2), 313-328.</ref>. The use of algorithms in the job search process can perpetuate existing biases which raise ethical concerns regarding opportunities for females being blocked, and how systematic gender roles are disadvantaging female job seekers. | ||
== References == | == References == | ||
<references/> | <references/> | ||
Revision as of 12:18, 12 March 2021
There are many stages to the hiring process, and algorithms are involved in almost all of them. [1]
Gender bias refers to the “unfair difference” in the way that both men and women are treated [2]. In the context of the online job search, this refers to the advantage male job seekers have versus female job seekers. The advancement of technology and big data has led to companies recruiting and hiring potential employees through the use of big data and artificial intelligence [3]. The use of algorithms in the job search process can perpetuate existing biases which raise ethical concerns regarding opportunities for females being blocked, and how systematic gender roles are disadvantaging female job seekers.
References
- ↑ Bogen, M. & Rieke, A. (2018). Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias. Upturn. https://www.upturn.org/static/reports/2018/hiring-algorithms/files/Upturn%20--%20Help%20Wanted%20-%20An%20Exploration%20of%20Hiring%20Algorithms,%20Equity%20and%20Bias.pdf
- ↑ Cambridge Dictionary.(n.d.). Gender Bias. In Cambridge English Dictionary. https://dictionary.cambridge.org/us/dictionary/english/gender-bias
- ↑ Kim, P. T. (2019). Big data and artificial intelligence: New challenges for workplace equality. University of Louisville Law Review, 57(2), 313-328.
