Artificial intelligence and labour market matching:
While still in its infancy, Artificial Intelligence (AI) is increasingly used in labour market matching, whether by private recruiters, public and private employment services, or online jobs boards and platforms. Applications range from writing job descriptions, applicant sourcing, analysing CVs, ch...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris
OECD Publishing
2023
|
| Series: | OECD Social, Employment and Migration Working Papers
no.284 |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | While still in its infancy, Artificial Intelligence (AI) is increasingly used in labour market matching, whether by private recruiters, public and private employment services, or online jobs boards and platforms. Applications range from writing job descriptions, applicant sourcing, analysing CVs, chat bots, interview schedulers, shortlisting tools, all the way to facial and voice analysis during interviews. While many tools promise to bring efficiencies and cost savings, they could also improve the quality of matching and jobseeker experience, and even identify and mitigate human bias. There are nonetheless some barriers to a greater adoption of these tools. Some barriers relate to organisation and people readiness, while others reflect concerns about the technology and how it is used, including: robustness, bias, privacy, transparency and explainability. The present paper reviews the literature and some recent policy developments in this field, while bringing new evidence from interviews held with key stakeholders. |
| Physical Description: | 1 Online-Ressource (86 Seiten) 21 x 28cm. |
Staff View
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-13-SOC-092690971 | ||
| 003 | DE-627-1 | ||
| 005 | 20241028113753.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230515s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1787/2b440821-en |2 doi | |
| 035 | |a (DE-627-1)092690971 | ||
| 035 | |a (DE-599)KEP092690971 | ||
| 035 | |a (FR-PaOEC)2b440821-en | ||
| 035 | |a (DE-627-1)092690971 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a J60 |2 jelc | ||
| 084 | |a J70 |2 jelc | ||
| 084 | |a J01 |2 jelc | ||
| 084 | |a J20 |2 jelc | ||
| 100 | 1 | |a Broecke, Stijn |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Artificial intelligence and labour market matching |c Stijn, Broecke |
| 264 | 1 | |a Paris |b OECD Publishing |c 2023 | |
| 300 | |a 1 Online-Ressource (86 Seiten) |c 21 x 28cm. | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a OECD Social, Employment and Migration Working Papers |v no.284 | |
| 520 | |a While still in its infancy, Artificial Intelligence (AI) is increasingly used in labour market matching, whether by private recruiters, public and private employment services, or online jobs boards and platforms. Applications range from writing job descriptions, applicant sourcing, analysing CVs, chat bots, interview schedulers, shortlisting tools, all the way to facial and voice analysis during interviews. While many tools promise to bring efficiencies and cost savings, they could also improve the quality of matching and jobseeker experience, and even identify and mitigate human bias. There are nonetheless some barriers to a greater adoption of these tools. Some barriers relate to organisation and people readiness, while others reflect concerns about the technology and how it is used, including: robustness, bias, privacy, transparency and explainability. The present paper reviews the literature and some recent policy developments in this field, while bringing new evidence from interviews held with key stakeholders. | ||
| 650 | 4 | |a Employment | |
| 650 | 4 | |a Social Issues/Migration/Health | |
| 966 | 4 | 0 | |l DE-862 |p ZDB-13-SOC |q FWS_PDA_SOC |u https://doi.org/10.1787/2b440821-en |m X:OECD |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-13-SOC |q FWS_PDA_SOC |u https://doi.org/10.1787/2b440821-en |m X:OECD |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-13-SOC-ebook | ||
| 912 | |a ZDB-13-SOC | ||
| 951 | |a BO | ||
| 912 | |a ZDB-13-SOC | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
| DE-BY-FWS_katkey | ZDB-13-SOC-092690971 |
|---|---|
| _version_ | 1826942501270847489 |
| adam_text | |
| any_adam_object | |
| author | Broecke, Stijn |
| author_facet | Broecke, Stijn |
| author_role | aut |
| author_sort | Broecke, Stijn |
| author_variant | s b sb |
| building | Verbundindex |
| bvnumber | localFWS |
| collection | ZDB-13-SOC-ebook ZDB-13-SOC |
| ctrlnum | (DE-627-1)092690971 (DE-599)KEP092690971 (FR-PaOEC)2b440821-en |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02271cam a22003972 4500</leader><controlfield tag="001">ZDB-13-SOC-092690971</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20241028113753.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230515s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/2b440821-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)092690971</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP092690971</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(FR-PaOEC)2b440821-en</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)092690971</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">J60</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">J70</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">J01</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">J20</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Broecke, Stijn</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence and labour market matching</subfield><subfield code="c">Stijn, Broecke</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (86 Seiten)</subfield><subfield code="c">21 x 28cm.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD Social, Employment and Migration Working Papers</subfield><subfield code="v">no.284</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">While still in its infancy, Artificial Intelligence (AI) is increasingly used in labour market matching, whether by private recruiters, public and private employment services, or online jobs boards and platforms. Applications range from writing job descriptions, applicant sourcing, analysing CVs, chat bots, interview schedulers, shortlisting tools, all the way to facial and voice analysis during interviews. While many tools promise to bring efficiencies and cost savings, they could also improve the quality of matching and jobseeker experience, and even identify and mitigate human bias. There are nonetheless some barriers to a greater adoption of these tools. Some barriers relate to organisation and people readiness, while others reflect concerns about the technology and how it is used, including: robustness, bias, privacy, transparency and explainability. The present paper reviews the literature and some recent policy developments in this field, while bringing new evidence from interviews held with key stakeholders.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Employment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social Issues/Migration/Health</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-13-SOC</subfield><subfield code="q">FWS_PDA_SOC</subfield><subfield code="u">https://doi.org/10.1787/2b440821-en</subfield><subfield code="m">X:OECD</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-13-SOC</subfield><subfield code="q">FWS_PDA_SOC</subfield><subfield code="u">https://doi.org/10.1787/2b440821-en</subfield><subfield code="m">X:OECD</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC-ebook</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-13-SOC-092690971 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:29:00Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 Online-Ressource (86 Seiten) 21 x 28cm. |
| psigel | ZDB-13-SOC FWS_PDA_SOC ZDB-13-SOC-ebook ZDB-13-SOC |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | OECD Publishing |
| record_format | marc |
| series2 | OECD Social, Employment and Migration Working Papers |
| spelling | Broecke, Stijn VerfasserIn aut Artificial intelligence and labour market matching Stijn, Broecke Paris OECD Publishing 2023 1 Online-Ressource (86 Seiten) 21 x 28cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Social, Employment and Migration Working Papers no.284 While still in its infancy, Artificial Intelligence (AI) is increasingly used in labour market matching, whether by private recruiters, public and private employment services, or online jobs boards and platforms. Applications range from writing job descriptions, applicant sourcing, analysing CVs, chat bots, interview schedulers, shortlisting tools, all the way to facial and voice analysis during interviews. While many tools promise to bring efficiencies and cost savings, they could also improve the quality of matching and jobseeker experience, and even identify and mitigate human bias. There are nonetheless some barriers to a greater adoption of these tools. Some barriers relate to organisation and people readiness, while others reflect concerns about the technology and how it is used, including: robustness, bias, privacy, transparency and explainability. The present paper reviews the literature and some recent policy developments in this field, while bringing new evidence from interviews held with key stakeholders. Employment Social Issues/Migration/Health |
| spellingShingle | Broecke, Stijn Artificial intelligence and labour market matching Employment Social Issues/Migration/Health |
| title | Artificial intelligence and labour market matching |
| title_auth | Artificial intelligence and labour market matching |
| title_exact_search | Artificial intelligence and labour market matching |
| title_full | Artificial intelligence and labour market matching Stijn, Broecke |
| title_fullStr | Artificial intelligence and labour market matching Stijn, Broecke |
| title_full_unstemmed | Artificial intelligence and labour market matching Stijn, Broecke |
| title_short | Artificial intelligence and labour market matching |
| title_sort | artificial intelligence and labour market matching |
| topic | Employment Social Issues/Migration/Health |
| topic_facet | Employment Social Issues/Migration/Health |
| work_keys_str_mv | AT broeckestijn artificialintelligenceandlabourmarketmatching |