What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI
Rejected job applicants seldom receive explanations from employers. Techniques from Explainable AI (XAI) could provide explanations at scale. Although XAI researchers have developed many different types of explanations, we know little about the type of explanations job applicants want. We use a surv...
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creator | Olckers, Matthew Vidler, Alicia Walsh, Toby |
description | Rejected job applicants seldom receive explanations from employers.
Techniques from Explainable AI (XAI) could provide explanations at scale.
Although XAI researchers have developed many different types of explanations,
we know little about the type of explanations job applicants want. We use a
survey of recent job applicants to fill this gap. Our survey generates three
main insights. First, the current norm of, at most, generic feedback frustrates
applicants. Second, applicants feel the employer has an obligation to provide
an explanation. Third, job applicants want to know why they were unsuccessful
and how to improve. |
doi_str_mv | 10.48550/arxiv.2205.09649 |
format | Article |
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Techniques from Explainable AI (XAI) could provide explanations at scale.
Although XAI researchers have developed many different types of explanations,
we know little about the type of explanations job applicants want. We use a
survey of recent job applicants to fill this gap. Our survey generates three
main insights. First, the current norm of, at most, generic feedback frustrates
applicants. Second, applicants feel the employer has an obligation to provide
an explanation. Third, job applicants want to know why they were unsuccessful
and how to improve.</description><identifier>DOI: 10.48550/arxiv.2205.09649</identifier><language>eng</language><subject>Quantitative Finance - Economics</subject><creationdate>2022-05</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2205.09649$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2205.09649$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Olckers, Matthew</creatorcontrib><creatorcontrib>Vidler, Alicia</creatorcontrib><creatorcontrib>Walsh, Toby</creatorcontrib><title>What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI</title><description>Rejected job applicants seldom receive explanations from employers.
Techniques from Explainable AI (XAI) could provide explanations at scale.
Although XAI researchers have developed many different types of explanations,
we know little about the type of explanations job applicants want. We use a
survey of recent job applicants to fill this gap. Our survey generates three
main insights. First, the current norm of, at most, generic feedback frustrates
applicants. Second, applicants feel the employer has an obligation to provide
an explanation. Third, job applicants want to know why they were unsuccessful
and how to improve.</description><subject>Quantitative Finance - Economics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj09Lw0AUxPfiQaofwJPvCyRu9l-Sk4RabaQgSKB4Cm9332IkTUISpP32tqmXGRhmBn6MPSQ8VpnW_AnHY_MbC8F1zHOj8lv2tf_GGarTQNAH2ByHFjucm76Dlx4-6YfcTB7eewvFMLSNw26eYH_WZygPS3ApTxD68bpuOrQtQVHesZuA7UT3_75i1eumWm-j3cdbuS52EZo0j6T3QdmUZyLRgSvpc6uD9YkyznklNUmhMkfCikBCY5phCD4XylBiRKJQrtjj9XZhq4exOeB4qi-M9cIo_wDWwExV</recordid><startdate>20220518</startdate><enddate>20220518</enddate><creator>Olckers, Matthew</creator><creator>Vidler, Alicia</creator><creator>Walsh, Toby</creator><scope>ADEOX</scope><scope>GOX</scope></search><sort><creationdate>20220518</creationdate><title>What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI</title><author>Olckers, Matthew ; Vidler, Alicia ; Walsh, Toby</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a679-3ddf4b708215f043d9b5fbd146ccd435e3248ce2b2fe25a78affd9246e16214a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Quantitative Finance - Economics</topic><toplevel>online_resources</toplevel><creatorcontrib>Olckers, Matthew</creatorcontrib><creatorcontrib>Vidler, Alicia</creatorcontrib><creatorcontrib>Walsh, Toby</creatorcontrib><collection>arXiv Economics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Olckers, Matthew</au><au>Vidler, Alicia</au><au>Walsh, Toby</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI</atitle><date>2022-05-18</date><risdate>2022</risdate><abstract>Rejected job applicants seldom receive explanations from employers.
Techniques from Explainable AI (XAI) could provide explanations at scale.
Although XAI researchers have developed many different types of explanations,
we know little about the type of explanations job applicants want. We use a
survey of recent job applicants to fill this gap. Our survey generates three
main insights. First, the current norm of, at most, generic feedback frustrates
applicants. Second, applicants feel the employer has an obligation to provide
an explanation. Third, job applicants want to know why they were unsuccessful
and how to improve.</abstract><doi>10.48550/arxiv.2205.09649</doi><oa>free_for_read</oa></addata></record> |
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subjects | Quantitative Finance - Economics |
title | What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI |
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