| 000 -LEADER |
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04523nam a22007337a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
00008176 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ES-MaONT |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20241218012115.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
241118s202410uufr d|||fs|||| 001 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
ES-MaONT |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
8398 |
| Personal name |
Lane, Marguerita |
| 110 ## - MAIN ENTRY--CORPORATE NAME |
|---|
| 9 (RLIN) |
2843 |
| Corporate name or jurisdiction name as entry element |
Organización de Cooperación y Desarrollo Económico |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Who will be the workers most affected by AI? |
| Remainder of title |
A closer look at the impact of AI on women, low-skilled workers and other groups |
| Statement of responsibility, etc. |
/ Lane, Marguerita ; Organización de Cooperación y Desarrollo Económico (OCDE) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
París : |
| Name of publisher, distributor, etc. |
OECD Publishing |
| Date of publication, distribution, etc. |
10/2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
61 p. |
| Dimensions |
; 1 documento PDF |
| 336 ## - CONTENT TYPE |
|---|
| Source |
isbdcontent |
| Content type term |
texto (visual) |
| 337 ## - MEDIA TYPE |
|---|
| Source |
isbdmedia |
| Media type term |
electrónico |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
recurso en línea |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
OECD Artificial Intelligence Papers |
| Volume/sequential designation |
October 2024 No. 26 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Este artículo examina cómo los distintos grupos sociodemográficos experimentan la inteligencia artificial (IA) en el trabajo. Al identificar los principales riesgos y oportunidades asociados a los distintos perfiles, el objetivo último es permitir a los responsables políticos orientar las ayudas y captar los beneficios de la IA (aumento de la productividad y crecimiento económico) sin aumentar las desigualdades y la resistencia social al progreso tecnológico. <br/><br/>Para su desarrollo, el estudio toma en consideración literatura gris al respecto elaborada por fuentes de autoridad, así como el análisis de encuestas, entrevistas e informes propios de la Organización para la Cooperación y el Desarrollo Económico (OCDE).<br/><br/>Entre los resultados se apunta a que, dado que la IA puede automatizar tareas cognitivas no rutinarias, es probable que las personas trabajadoras con estudios superiores en profesiones de «cuello blanco» (trabajos de oficina que suelen requerir educación o formación reglada y no implican trabajo manual) sufran trastornos, aunque el análisis empírico no sugiere que los niveles generales de empleo hayan descendido debido a la IA, ni siquiera en este tipo de profesionales.<br/><br/>El principal riesgo para las personas sin estudios superiores, las mujeres y los trabajadores de más edad es que salgan perdiendo debido a un menor acceso a las oportunidades de empleo relacionadas con la IA y a las herramientas relacionadas que mejoran la productividad en el lugar de trabajo. De este modo, la mano de obra de la inteligencia artificial, definida como aquella con las capacidades para desarrollar y mantener sistemas de IA, se limita a un estrecho segmento sociodemográfico de la población, principalmente masculina y con estudios universitarios. No obstante, algunas características de la IA podrían abrir nuevas oportunidades para grupos tradicionalmente infrarrepresentados dado su potencial de complementar capacidades y compensar carencias. Sus métodos basados en datos para la toma de decisiones y el emparejamiento ofrecen la oportunidad de romper con los métodos tradicionales y las pautas tradicionales de infrarrepresentación. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
4348 |
| Topical term or geographic name entry element |
Inteligencia Artificial |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
5190 |
| Topical term or geographic name entry element |
Empleo |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
2600 |
| Topical term or geographic name entry element |
Mujeres digitales |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
2058 |
| Topical term or geographic name entry element |
Educación digital |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
3713 |
| Geographic name |
Austria |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5608 |
| Geographic name |
Bélgica |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5780 |
| Geographic name |
Croacia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5781 |
| Geographic name |
Chipre |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5782 |
| Geographic name |
República Checa |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Geographic name |
Dinamarca |
| 9 (RLIN) |
2748 |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5407 |
| Geographic name |
Estonia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5783 |
| Geographic name |
Finlandia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Geographic name |
Francia |
| 9 (RLIN) |
2749 |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
2750 |
| Geographic name |
Alemania. |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5784 |
| Geographic name |
Grecia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5785 |
| Geographic name |
Hungría |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
3625 |
| Geographic name |
Islandia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5786 |
| Geographic name |
Irlanda |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Geographic name |
Italia |
| 9 (RLIN) |
2751 |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5789 |
| Geographic name |
Lituania |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5790 |
| Geographic name |
Luxemburgo |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Geographic name |
Países Bajos |
| 9 (RLIN) |
2752 |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
3627 |
| Geographic name |
Noruega |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
2753 |
| Geographic name |
Polonia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5127 |
| Geographic name |
Portugal |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5792 |
| Geographic name |
Rumanía |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5793 |
| Geographic name |
Eslovaquia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
2183 |
| Geographic name |
España |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
5096 |
| Geographic name |
Suecia |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
3624 |
| Geographic name |
Suiza |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
3440 |
| Geographic name |
Reino Unido |
| 651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| 9 (RLIN) |
4015 |
| Geographic name |
Estados Unidos de América |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
competencias digitales |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
brecha digital |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
brecha de género |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
trabajadores |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
discapacitados |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
brechas |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
discriminación |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
mercado laboral |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://www.oecd.org/en/publications/who-will-be-the-workers-most-affected-by-ai_14dc6f89-en.html |
| Nonpublic note |
Abierto |
| Link text |
Acceso a la publicación |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Informes |